One of the main challenges of electronic market is how to attract customers as various products and customers’ preferences effect widely on it. In this paper, we have started to categorize electronic markets customers using k-means, En, Farthest first algorithms to determine marketing policies and customer satisfaction and indicated that each algorithm either cover the weakness of cluster analyzing of other algorithms for some customers or integrated data of all algorithm analyses which provided detailed results of customers’ behavioral methods and its relation with their shopping basket could finally lead us to more income and increased productivity using obtained analyses.
This thesis examines how product quality and product evaluation mediate the relationship between corporate identity and purchase intention of electronic gadgets among young consumers in India. The study reviews literature on consumer behavior and the factors that influence purchase intention, including brand image, product design, corporate identity, perceived quality, and country of origin. The study aims to understand how these factors directly or indirectly impact purchase intention and propose a model of their relationships. A survey was conducted to collect data and structural equation modeling was used to analyze the relationships between variables. The findings provide insight into what drives young consumers' purchase of electronic gadgets in India and suggestions for marketers.
Research Paper: Consumer Trust and Perceived Risk in B2C E CommerceTanzir Islam
This research paper was created by a group of students of Institute of Business Administration, University of Dhaka as their term paper for the course Research Methods.
Topic of the research paper: Consumer Trust and Perceived Risk in B2C E-commerce
An Empirical Study on the Mediating Effect of E-Service Recovery Satisfaction...iosrjce
In the era of Internet and the accelerating rate of using the e-context as a marketing tool by wide
range of companies, customer retention becomes a crucial element in firm’s survival. Losing customers to
competitors in e-context is a constant threat as it is a click away .The current study aims at at investigating the
influence of five customer factors namely; E-Trust, Prior Experience, Customer’s Perception of Feedback, ELoyalty
and Digital Awareness on Customer Retention. The study has investigated whether E-Service Recovery
Satisfaction (E-SRS) has a mediating role on these relations in Airline Industry in Malaysia. A questionnaire is
designed as a data collection tool. The unit of analysis is Malaysian passengers who used the local Airlines and
faced a service failure. Sequential Equation Modeling is employed to analyze the data collected using closedended
multiple choice questionnaire.
A Study of Online Market in Airline A Case Study in Mongoliaijtsrd
This study defines customer satisfaction CS of Mongolia with the experience of the online market OM by technology acceptance AT . The factors of CS include ease of use, payment security, interactivity, and the quality of the information on the website. The goal of this study is to examine to what extent these 4 factors affect the satisfaction of passengers in Mongolian Airlines MA . The survey was based on 2 airlines the airline Hunnu, the airline MIAT and the data collected from 98 passengers of those airlines. The results show that there are three essential factors interactivity, the security of payment and ease of use, which affects satisfaction with OMs experience in CS in Mongolia. Bayanmunkh Nandinchimeg | Ganzorig Munkhjin | Tsevegdorj Battsetseg ""A Study of Online Market in Airline: A Case Study in Mongolia"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23813.pdf
Paper URL: https://www.ijtsrd.com/management/business-ethics/23813/a-study-of-online-market-in-airline-a-case-study-in-mongolia/bayanmunkh-nandinchimeg
This document summarizes a study on the consumer buying behavior of online shoppers in the Philippines. It found that the majority of online shoppers are female, between 21-30 years old, and students. Clothing and apparel were the most regularly purchased items. Most respondents spent less than 1,000 PHP and used cash on delivery. Convenience was the main motivating factor for online shopping. Misleading product information was the most common problem encountered. The researchers suggest carefully reviewing product details and customer reviews before purchasing.
This document summarizes a research study on the promotional practices of leading fast-food chains in Nueva Ecija, Philippines. The study aimed to identify the promotional mix and industry practices of 6 fast-food chains in NE Pacific Mall. Descriptive research methods were used, including questionnaires distributed to 100 customers and 6 managers. Key findings included that the fast-food chains primarily used television advertising and employed similar promotional strategies. Customer profiles showed the majority were female, single, and college-educated. The study provided recommendations to address promotional problems faced by fast-food managers.
This document discusses factors affecting customer relationship management (CRM) practices in Thai academic libraries. It analyzes data collected from interviews and surveys of administrators, staff, and customers at six academic libraries in Thailand. The results show that the key factors influencing CRM practices are: 1) knowledge and understanding of CRM by library staff and leadership, 2) organizational culture and communication, 3) customer management processes, 4) technology supporting customer management, and 5) channels for library services and communication. The study provides suggestions for academic libraries to improve implementation of CRM.
This study examined the effects of retailers' mobile advertisements on consumer behavior in Aydin Province, Turkey. A questionnaire was administered to 530 consumers to understand their attitudes toward mobile marketing applications from retailers. The results found that entertainment, informativeness, credibility, benefit, and personalization of mobile ads positively influenced consumers' views of the ads. Regression analysis confirmed that entertainment was the most influential factor on consumers' perspectives. Additional analysis showed that attitudes toward mobile marketing varied based on demographic characteristics such as age, education level, and income. The study provides insight into how retailers can effectively utilize mobile ads to reach target consumer groups.
This thesis examines how product quality and product evaluation mediate the relationship between corporate identity and purchase intention of electronic gadgets among young consumers in India. The study reviews literature on consumer behavior and the factors that influence purchase intention, including brand image, product design, corporate identity, perceived quality, and country of origin. The study aims to understand how these factors directly or indirectly impact purchase intention and propose a model of their relationships. A survey was conducted to collect data and structural equation modeling was used to analyze the relationships between variables. The findings provide insight into what drives young consumers' purchase of electronic gadgets in India and suggestions for marketers.
Research Paper: Consumer Trust and Perceived Risk in B2C E CommerceTanzir Islam
This research paper was created by a group of students of Institute of Business Administration, University of Dhaka as their term paper for the course Research Methods.
Topic of the research paper: Consumer Trust and Perceived Risk in B2C E-commerce
An Empirical Study on the Mediating Effect of E-Service Recovery Satisfaction...iosrjce
In the era of Internet and the accelerating rate of using the e-context as a marketing tool by wide
range of companies, customer retention becomes a crucial element in firm’s survival. Losing customers to
competitors in e-context is a constant threat as it is a click away .The current study aims at at investigating the
influence of five customer factors namely; E-Trust, Prior Experience, Customer’s Perception of Feedback, ELoyalty
and Digital Awareness on Customer Retention. The study has investigated whether E-Service Recovery
Satisfaction (E-SRS) has a mediating role on these relations in Airline Industry in Malaysia. A questionnaire is
designed as a data collection tool. The unit of analysis is Malaysian passengers who used the local Airlines and
faced a service failure. Sequential Equation Modeling is employed to analyze the data collected using closedended
multiple choice questionnaire.
A Study of Online Market in Airline A Case Study in Mongoliaijtsrd
This study defines customer satisfaction CS of Mongolia with the experience of the online market OM by technology acceptance AT . The factors of CS include ease of use, payment security, interactivity, and the quality of the information on the website. The goal of this study is to examine to what extent these 4 factors affect the satisfaction of passengers in Mongolian Airlines MA . The survey was based on 2 airlines the airline Hunnu, the airline MIAT and the data collected from 98 passengers of those airlines. The results show that there are three essential factors interactivity, the security of payment and ease of use, which affects satisfaction with OMs experience in CS in Mongolia. Bayanmunkh Nandinchimeg | Ganzorig Munkhjin | Tsevegdorj Battsetseg ""A Study of Online Market in Airline: A Case Study in Mongolia"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23813.pdf
Paper URL: https://www.ijtsrd.com/management/business-ethics/23813/a-study-of-online-market-in-airline-a-case-study-in-mongolia/bayanmunkh-nandinchimeg
This document summarizes a study on the consumer buying behavior of online shoppers in the Philippines. It found that the majority of online shoppers are female, between 21-30 years old, and students. Clothing and apparel were the most regularly purchased items. Most respondents spent less than 1,000 PHP and used cash on delivery. Convenience was the main motivating factor for online shopping. Misleading product information was the most common problem encountered. The researchers suggest carefully reviewing product details and customer reviews before purchasing.
This document summarizes a research study on the promotional practices of leading fast-food chains in Nueva Ecija, Philippines. The study aimed to identify the promotional mix and industry practices of 6 fast-food chains in NE Pacific Mall. Descriptive research methods were used, including questionnaires distributed to 100 customers and 6 managers. Key findings included that the fast-food chains primarily used television advertising and employed similar promotional strategies. Customer profiles showed the majority were female, single, and college-educated. The study provided recommendations to address promotional problems faced by fast-food managers.
This document discusses factors affecting customer relationship management (CRM) practices in Thai academic libraries. It analyzes data collected from interviews and surveys of administrators, staff, and customers at six academic libraries in Thailand. The results show that the key factors influencing CRM practices are: 1) knowledge and understanding of CRM by library staff and leadership, 2) organizational culture and communication, 3) customer management processes, 4) technology supporting customer management, and 5) channels for library services and communication. The study provides suggestions for academic libraries to improve implementation of CRM.
This study examined the effects of retailers' mobile advertisements on consumer behavior in Aydin Province, Turkey. A questionnaire was administered to 530 consumers to understand their attitudes toward mobile marketing applications from retailers. The results found that entertainment, informativeness, credibility, benefit, and personalization of mobile ads positively influenced consumers' views of the ads. Regression analysis confirmed that entertainment was the most influential factor on consumers' perspectives. Additional analysis showed that attitudes toward mobile marketing varied based on demographic characteristics such as age, education level, and income. The study provides insight into how retailers can effectively utilize mobile ads to reach target consumer groups.
This document summarizes a study on customer retention strategies in the telecom industry in India. It discusses how increased competition has made customer retention difficult for telecom providers. The study analyzed factors that influence customer loyalty and reasons for changing providers. It found that the top reasons customers change providers are for better service promises, low talk time on recharges, and high call tariffs. The study utilized surveys of 250 customers of various telecom providers to analyze relationships between sociodemographic factors, network usage, and choice of service provider. Airtel had the most customers overall, particularly among graduates/postgraduates and middle-income groups.
1) The study examined consumer preferences and satisfaction towards mobile network service providers in Madurai City. A survey was conducted of 125 respondents to understand factors influencing consumer satisfaction levels.
2) Results found that network coverage, call quality, call plans and pricing most impacted satisfaction levels. Brand name was also found to influence consumer preferences.
3) It was recommended that telecom companies focus on network availability, pricing of talk time plans, coverage and quality of service to improve consumer satisfaction.
Impact of e commerce on purchase behavior of student in higher education a st...Jai Prakash
This document is a dissertation submitted by Jai Prakash to CSJMU University in partial fulfillment of an MBA degree. It examines the impact of e-commerce on the purchase behavior of students in higher education. The dissertation includes an introduction, literature review, problem statement, objectives, research methodology, data analysis and interpretation, findings and conclusions, suggestions, and bibliography. It was conducted under the guidance of Dr. Mukesh Ranga and examines students' online purchasing habits through a questionnaire.
Computerized marketing can facilitate more efficient collection and dissemination of current market information compared to traditional phone-based methods. It could potentially eliminate 90% of the costs associated with negotiating sales. It may also increase competition by allowing traders to more easily communicate with each other. Previous computerized marketing systems have resulted in higher prices for growers, from both increased competition and improved operational efficiency, with cost savings being passed on to growers. A survey of industry participants found general support for developing a computerized marketing system to complement existing practices.
E marketing dalam prespektif UKM , Studi literaturUdin Msm
This document provides a literature review of research on e-marketing published between 2003 and 2010. It identifies the main research areas covered, including e-business, e-commerce, internet marketing, and mobile marketing. The review found many studies on e-commerce but few on e-marketing adoption in small businesses. It used Hanson's internet marketing framework to systematically review 365 studies across marketing, business, and information systems journals. The review aims to identify gaps, evaluate methodologies, and provide guidance for future e-marketing research.
The Effect of Online Marketing and Price Perception of Purchase Decisions Cas...ijtsrd
The development of information and communication technology has made a shift in consumer shopping behavior from offline stores to online sales in Indonesia, one of which is marked by the growth of online sales that are experiencing a significant increase. one of the factors that influence consumers in buying a product is a marketing system and price perception. If online marketing continues and the price offered is lower than its competitors, consumers will buy more products at the store. Therefore, in this study the authors use online marketing and price perception as independent variables and purchasing decisions as the dependent variable. In this study the method used is a quantitative method with an associative approach. In this research, the population is the consumers of Toko Aidilia Os Medan. The method of sampling in this study used probability sampling techniques with a simple random sampling approach of 60 respondents. Data collection is done by distributing questionnaires to respondents. In this study using data analysis techniques, namely validity test, reliability test, classic assumption test, multiple linear regression analysis, t test, F test, and the coefficient of determination test R2 , which is operated through the SPSS 16 program. The results of the t test study of online marketing variables t value 4.281 t table 2.001 means that online marketing has an influence on purchasing decisions and the perception of price variable t value 5.246 t table 2.001 means that price perception has an effect on purchasing decisions. F test of online marketing variables and price perception F value calculated 29.342 F table 3.23 shows that online marketing and price perception together influence the purchase decision. The coefficient of determination R2 of 0.507 indicates that online marketing variables and price perception affect purchasing decisions by 50.7 and the remaining 49.3 is influenced by other factors not included in this study. The conclusion of the research results shows that online marketing has a significant effect on purchasing decisions and price perceptions have a significant effect on purchasing decisions, Simultaneously online marketing and price perceptions have a significant effect on purchasing decisions. Aidilia Adhami Siregar | Togu Harlen Lbn. Raja | Lasman Eddy Bachtiar ""The Effect of Online Marketing and Price Perception of Purchase Decisions (Case Study at Medan Aidilia Os Shop)"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd29930.pdf
Paper Url : https://www.ijtsrd.com/management/marketing/29930/the-effect-of-online-marketing-and-price-perception-of-purchase-decisions-case-study-at-medan-aidilia-os-shop/aidilia-adhami-siregar
This document provides an overview of a student project on customer satisfaction of Airtel mobile services in India. It includes an acknowledgment section thanking the student's guide. The document then outlines the contents which will cover an introduction to customer satisfaction, Airtel's company profile, products and services, SWOT analysis, distribution and sales, targeting, data analysis, findings and conclusions. It describes the research methodology as using a survey method with a sample size of 100 customers and data collection through questionnaires. The need for the study is to understand customer service importance and marketing/management skills for organizational growth by assessing Airtel customer satisfaction levels.
CONSUMER PREFERENCE STUDY ON AMAZON VS FLIPKARTPOOJA
To understand and estimate the consumer perception and factors affecting their behavior for choosing e-commerce sites.
To know how consumers are evaluating e-commerce sites for their purchases.
To study the barriers those are there in between e-commerce sites and customers.
1. The document summarizes a study on customer satisfaction with telecom service providers in India. The study was conducted from February to August 2013 among medical college students in Silchar, Assam under the guidance of Assam University.
2. The objectives of the study were to understand customer satisfaction levels and benefits towards mobile service providers and identify customer needs, expectations, and current satisfaction levels.
3. The study reviewed previous research on topics like marketing of new mobile phone technologies, strategies to retain customers, and analysis of customer attitudes towards cellular services. It also outlined the conceptual framework, importance of customer satisfaction, and methods used to measure satisfaction.
Best NMIMS Assignment Solutions Dec 21palaniappann
Sir / Madam,
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD. has 15 years of teaching experience in MBA Business schools. For last fifteen years Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD has taught various subjects from Marketing, Finance, Human Resource Management, Information Systems, International Business and General Specializations. He has written many research papers and case studies.
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD organizes online MBA subject coaching / MBA Assignment help and MBA Project help. Many clients national and international has appreciated Prof.Dr.N.Palaniappan.,MBA., MCom.,MPhil.,PhD for his timely help in the assignments and projects and MBA subject coaching.
You can call him on his mobile no. 09025810064 (whatsapp available) or mail him at palaniappanmail@gmail.com. He does help/guide for the below question. If urgent or any query’s, Please feel free to call him on his mobile no. 9025810064 (whatsapp available) or do mail on palaniappanmail@gmail.com. He does help/guide for the below question
Contact:
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD
Mail ID: palaniappanmail@gmail.com
Ph: - 9025810064 (whatsapp available)
A usability evaluation framework for b2 c e commerce websitesAlexander Decker
This document presents a framework for evaluating the usability of B2C e-commerce websites. It involves user testing methods like usability testing and interviews to identify usability problems in areas like navigation, design, purchasing processes, and customer service. The framework specifies goals for the evaluation, determines which website aspects to evaluate, and identifies target users. It then describes collecting data through user testing and analyzing the results to identify usability problems and suggest improvements.
SharqStream and Sarkor eXtreme marketing analysis 2011Miraziz Bazarov
This document summarizes research on consumer behavior related to two competing internet service providers, SharqStream and Sarkor eXtreme, in Tashkent, Uzbekistan. Both quantitative and qualitative research methods were used, including surveys of 100 and 27 individuals and in-depth interviews. The research found that the majority of consumers for both providers are young, unmarried, male students with limited income who primarily use the internet for leisure in the evenings. Price was the most important factor for consumers when choosing a provider, while quality and stability were less significant. SharqStream was seen as cheaper but Sarkor had higher quality internal content and connection. The document provides details on research methodology, data collection and analysis to understand
A universal model for managing the marketing executives in nigerian banksAlexander Decker
This document summarizes a study on developing a universal model for motivating marketing executives in Nigerian banks. The study synthesized theories of Maslow and McGregor to develop a model. A sample of 303 marketing executives was used to test the model. The results showed that managers will most effectively motivate marketing executives by considering their individual needs and creating challenging but attainable goals. The proposed universal model suggests managers take individual characteristics and abilities into account to provide satisfaction and challenge.
This document examines the impact of customer relationship management (CRM) on the performance of deposit money banks (DMBs) in Abuja, Nigeria. It investigates how CRM variables such as customer attraction, satisfaction, and retention impact bank performance. A survey was conducted of employees and customers of 10 randomly selected DMBs in Abuja. The findings reveal a significant relationship between CRM and bank performance. It is recommended that DMBs improve customer attraction activities to strengthen their competitive positions and market penetration. Adopting CRM contributes significantly to bank performance.
The study aims to measure the customers’
expectation levels of service quality in the food retail sector
against their perceptions levels of the service quality at
Nakumatt hypermarkets and to determine the gap
between customers’ expectations and their perceptions of
the service quality.
A descriptive research design was adopted to carry out
the research. Using a SERVQUAL survey instrument
based on the Dabholkar RSQS model this study was
conducted with customers from Nakumatt stores in
Nairobi Kenya. . Through a self reported questionnaire,
150 respondents were approached using a convenience
sampling method from the store locations.
Key findings include confirmation that customers have
higher expectations for service quality in retail
supermarkets than is anticipated. Gap 5, which is a gap
between customers’ Expected Service and customers’
Perceive This study does not differentiate applicability of
the RSQS in the different formats of the retail store.
Future research should examine the impact of the different
retail formats in using the scale for measuring retail
service quality. Also the customers were a little reluctant
in revealing the information because of the lengthiness of
the questionnaire.
This is one of the few studies which attempted to
investigate customers’ expectations of service quality in
retail supermarket in Kenya. d Service, was identified.
Analytical hierarchy process (ahp) approach on consumers’ preferences for sel...Alexander Decker
This document discusses a study that analyzes consumer preferences for selecting telecom operators in Bangladesh using the Analytical Hierarchy Process (AHP) model. The study ranks telecom operators based on important criteria for consumer satisfaction identified in previous research, such as network quality, price, customer service, and value-added services. The results of the AHP analysis show that respondents preferred Grameen Phone the most and ranked network quality as the most important criteria overall. Previous literature on consumer preferences for telecom operators identified similar important factors like quality of service, price, branding, and value-added services that influence consumer selection.
This document summarizes a study on the present scenarios, opportunities, and obstacles of e-business in Bangladesh. The study found that while e-business is emerging in Bangladesh, there are still some constraints holding it back such as poor infrastructure, low bandwidth, and lack of technical expertise. However, the number of internet users is growing and more businesses are performing functions such as online ordering, marketing, and customer service. The study concluded there is great potential for online business in Bangladesh if the obstacles can be addressed.
Cluster analysis of classification is often called the 'non-supervised technique'.
It is a multivariate technique used to determine group membership for cases or variables.
Semi-automatic ground truth generation using unsupervised clustering and limi...SOYEON KIM
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
Szilárd Vajda, Yves Rangoni, Hubert Cecotti
Pattern Recognition Letters, 2015
EXPERTALKS: Nov 2012 - Web Application ClusteringEXPERTALKS
This document discusses strategies for scaling web applications to handle increasing user loads. It describes scaling up (vertical clustering) which uses more powerful hardware on a single server. For loads over 500 users, it recommends scaling out (horizontal clustering) using multiple servers. It provides instructions to set up a basic two-node Tomcat cluster using Apache HTTP Server as a load balancer with a weighted round robin policy. Key steps include configuring the Tomcat nodes, installing the mod_jk module, and setting the workers.properties file. The goal is to demonstrate how to build a simple clustered environment to improve response times and allow scaling to over 5000 concurrent users.
This document summarizes a study on customer retention strategies in the telecom industry in India. It discusses how increased competition has made customer retention difficult for telecom providers. The study analyzed factors that influence customer loyalty and reasons for changing providers. It found that the top reasons customers change providers are for better service promises, low talk time on recharges, and high call tariffs. The study utilized surveys of 250 customers of various telecom providers to analyze relationships between sociodemographic factors, network usage, and choice of service provider. Airtel had the most customers overall, particularly among graduates/postgraduates and middle-income groups.
1) The study examined consumer preferences and satisfaction towards mobile network service providers in Madurai City. A survey was conducted of 125 respondents to understand factors influencing consumer satisfaction levels.
2) Results found that network coverage, call quality, call plans and pricing most impacted satisfaction levels. Brand name was also found to influence consumer preferences.
3) It was recommended that telecom companies focus on network availability, pricing of talk time plans, coverage and quality of service to improve consumer satisfaction.
Impact of e commerce on purchase behavior of student in higher education a st...Jai Prakash
This document is a dissertation submitted by Jai Prakash to CSJMU University in partial fulfillment of an MBA degree. It examines the impact of e-commerce on the purchase behavior of students in higher education. The dissertation includes an introduction, literature review, problem statement, objectives, research methodology, data analysis and interpretation, findings and conclusions, suggestions, and bibliography. It was conducted under the guidance of Dr. Mukesh Ranga and examines students' online purchasing habits through a questionnaire.
Computerized marketing can facilitate more efficient collection and dissemination of current market information compared to traditional phone-based methods. It could potentially eliminate 90% of the costs associated with negotiating sales. It may also increase competition by allowing traders to more easily communicate with each other. Previous computerized marketing systems have resulted in higher prices for growers, from both increased competition and improved operational efficiency, with cost savings being passed on to growers. A survey of industry participants found general support for developing a computerized marketing system to complement existing practices.
E marketing dalam prespektif UKM , Studi literaturUdin Msm
This document provides a literature review of research on e-marketing published between 2003 and 2010. It identifies the main research areas covered, including e-business, e-commerce, internet marketing, and mobile marketing. The review found many studies on e-commerce but few on e-marketing adoption in small businesses. It used Hanson's internet marketing framework to systematically review 365 studies across marketing, business, and information systems journals. The review aims to identify gaps, evaluate methodologies, and provide guidance for future e-marketing research.
The Effect of Online Marketing and Price Perception of Purchase Decisions Cas...ijtsrd
The development of information and communication technology has made a shift in consumer shopping behavior from offline stores to online sales in Indonesia, one of which is marked by the growth of online sales that are experiencing a significant increase. one of the factors that influence consumers in buying a product is a marketing system and price perception. If online marketing continues and the price offered is lower than its competitors, consumers will buy more products at the store. Therefore, in this study the authors use online marketing and price perception as independent variables and purchasing decisions as the dependent variable. In this study the method used is a quantitative method with an associative approach. In this research, the population is the consumers of Toko Aidilia Os Medan. The method of sampling in this study used probability sampling techniques with a simple random sampling approach of 60 respondents. Data collection is done by distributing questionnaires to respondents. In this study using data analysis techniques, namely validity test, reliability test, classic assumption test, multiple linear regression analysis, t test, F test, and the coefficient of determination test R2 , which is operated through the SPSS 16 program. The results of the t test study of online marketing variables t value 4.281 t table 2.001 means that online marketing has an influence on purchasing decisions and the perception of price variable t value 5.246 t table 2.001 means that price perception has an effect on purchasing decisions. F test of online marketing variables and price perception F value calculated 29.342 F table 3.23 shows that online marketing and price perception together influence the purchase decision. The coefficient of determination R2 of 0.507 indicates that online marketing variables and price perception affect purchasing decisions by 50.7 and the remaining 49.3 is influenced by other factors not included in this study. The conclusion of the research results shows that online marketing has a significant effect on purchasing decisions and price perceptions have a significant effect on purchasing decisions, Simultaneously online marketing and price perceptions have a significant effect on purchasing decisions. Aidilia Adhami Siregar | Togu Harlen Lbn. Raja | Lasman Eddy Bachtiar ""The Effect of Online Marketing and Price Perception of Purchase Decisions (Case Study at Medan Aidilia Os Shop)"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd29930.pdf
Paper Url : https://www.ijtsrd.com/management/marketing/29930/the-effect-of-online-marketing-and-price-perception-of-purchase-decisions-case-study-at-medan-aidilia-os-shop/aidilia-adhami-siregar
This document provides an overview of a student project on customer satisfaction of Airtel mobile services in India. It includes an acknowledgment section thanking the student's guide. The document then outlines the contents which will cover an introduction to customer satisfaction, Airtel's company profile, products and services, SWOT analysis, distribution and sales, targeting, data analysis, findings and conclusions. It describes the research methodology as using a survey method with a sample size of 100 customers and data collection through questionnaires. The need for the study is to understand customer service importance and marketing/management skills for organizational growth by assessing Airtel customer satisfaction levels.
CONSUMER PREFERENCE STUDY ON AMAZON VS FLIPKARTPOOJA
To understand and estimate the consumer perception and factors affecting their behavior for choosing e-commerce sites.
To know how consumers are evaluating e-commerce sites for their purchases.
To study the barriers those are there in between e-commerce sites and customers.
1. The document summarizes a study on customer satisfaction with telecom service providers in India. The study was conducted from February to August 2013 among medical college students in Silchar, Assam under the guidance of Assam University.
2. The objectives of the study were to understand customer satisfaction levels and benefits towards mobile service providers and identify customer needs, expectations, and current satisfaction levels.
3. The study reviewed previous research on topics like marketing of new mobile phone technologies, strategies to retain customers, and analysis of customer attitudes towards cellular services. It also outlined the conceptual framework, importance of customer satisfaction, and methods used to measure satisfaction.
Best NMIMS Assignment Solutions Dec 21palaniappann
Sir / Madam,
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD. has 15 years of teaching experience in MBA Business schools. For last fifteen years Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD has taught various subjects from Marketing, Finance, Human Resource Management, Information Systems, International Business and General Specializations. He has written many research papers and case studies.
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD organizes online MBA subject coaching / MBA Assignment help and MBA Project help. Many clients national and international has appreciated Prof.Dr.N.Palaniappan.,MBA., MCom.,MPhil.,PhD for his timely help in the assignments and projects and MBA subject coaching.
You can call him on his mobile no. 09025810064 (whatsapp available) or mail him at palaniappanmail@gmail.com. He does help/guide for the below question. If urgent or any query’s, Please feel free to call him on his mobile no. 9025810064 (whatsapp available) or do mail on palaniappanmail@gmail.com. He does help/guide for the below question
Contact:
Prof.Dr.N.Palaniappan.,MBA.,MCom.,MPhil.,PhD
Mail ID: palaniappanmail@gmail.com
Ph: - 9025810064 (whatsapp available)
A usability evaluation framework for b2 c e commerce websitesAlexander Decker
This document presents a framework for evaluating the usability of B2C e-commerce websites. It involves user testing methods like usability testing and interviews to identify usability problems in areas like navigation, design, purchasing processes, and customer service. The framework specifies goals for the evaluation, determines which website aspects to evaluate, and identifies target users. It then describes collecting data through user testing and analyzing the results to identify usability problems and suggest improvements.
SharqStream and Sarkor eXtreme marketing analysis 2011Miraziz Bazarov
This document summarizes research on consumer behavior related to two competing internet service providers, SharqStream and Sarkor eXtreme, in Tashkent, Uzbekistan. Both quantitative and qualitative research methods were used, including surveys of 100 and 27 individuals and in-depth interviews. The research found that the majority of consumers for both providers are young, unmarried, male students with limited income who primarily use the internet for leisure in the evenings. Price was the most important factor for consumers when choosing a provider, while quality and stability were less significant. SharqStream was seen as cheaper but Sarkor had higher quality internal content and connection. The document provides details on research methodology, data collection and analysis to understand
A universal model for managing the marketing executives in nigerian banksAlexander Decker
This document summarizes a study on developing a universal model for motivating marketing executives in Nigerian banks. The study synthesized theories of Maslow and McGregor to develop a model. A sample of 303 marketing executives was used to test the model. The results showed that managers will most effectively motivate marketing executives by considering their individual needs and creating challenging but attainable goals. The proposed universal model suggests managers take individual characteristics and abilities into account to provide satisfaction and challenge.
This document examines the impact of customer relationship management (CRM) on the performance of deposit money banks (DMBs) in Abuja, Nigeria. It investigates how CRM variables such as customer attraction, satisfaction, and retention impact bank performance. A survey was conducted of employees and customers of 10 randomly selected DMBs in Abuja. The findings reveal a significant relationship between CRM and bank performance. It is recommended that DMBs improve customer attraction activities to strengthen their competitive positions and market penetration. Adopting CRM contributes significantly to bank performance.
The study aims to measure the customers’
expectation levels of service quality in the food retail sector
against their perceptions levels of the service quality at
Nakumatt hypermarkets and to determine the gap
between customers’ expectations and their perceptions of
the service quality.
A descriptive research design was adopted to carry out
the research. Using a SERVQUAL survey instrument
based on the Dabholkar RSQS model this study was
conducted with customers from Nakumatt stores in
Nairobi Kenya. . Through a self reported questionnaire,
150 respondents were approached using a convenience
sampling method from the store locations.
Key findings include confirmation that customers have
higher expectations for service quality in retail
supermarkets than is anticipated. Gap 5, which is a gap
between customers’ Expected Service and customers’
Perceive This study does not differentiate applicability of
the RSQS in the different formats of the retail store.
Future research should examine the impact of the different
retail formats in using the scale for measuring retail
service quality. Also the customers were a little reluctant
in revealing the information because of the lengthiness of
the questionnaire.
This is one of the few studies which attempted to
investigate customers’ expectations of service quality in
retail supermarket in Kenya. d Service, was identified.
Analytical hierarchy process (ahp) approach on consumers’ preferences for sel...Alexander Decker
This document discusses a study that analyzes consumer preferences for selecting telecom operators in Bangladesh using the Analytical Hierarchy Process (AHP) model. The study ranks telecom operators based on important criteria for consumer satisfaction identified in previous research, such as network quality, price, customer service, and value-added services. The results of the AHP analysis show that respondents preferred Grameen Phone the most and ranked network quality as the most important criteria overall. Previous literature on consumer preferences for telecom operators identified similar important factors like quality of service, price, branding, and value-added services that influence consumer selection.
This document summarizes a study on the present scenarios, opportunities, and obstacles of e-business in Bangladesh. The study found that while e-business is emerging in Bangladesh, there are still some constraints holding it back such as poor infrastructure, low bandwidth, and lack of technical expertise. However, the number of internet users is growing and more businesses are performing functions such as online ordering, marketing, and customer service. The study concluded there is great potential for online business in Bangladesh if the obstacles can be addressed.
Cluster analysis of classification is often called the 'non-supervised technique'.
It is a multivariate technique used to determine group membership for cases or variables.
Semi-automatic ground truth generation using unsupervised clustering and limi...SOYEON KIM
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
Szilárd Vajda, Yves Rangoni, Hubert Cecotti
Pattern Recognition Letters, 2015
EXPERTALKS: Nov 2012 - Web Application ClusteringEXPERTALKS
This document discusses strategies for scaling web applications to handle increasing user loads. It describes scaling up (vertical clustering) which uses more powerful hardware on a single server. For loads over 500 users, it recommends scaling out (horizontal clustering) using multiple servers. It provides instructions to set up a basic two-node Tomcat cluster using Apache HTTP Server as a load balancer with a weighted round robin policy. Key steps include configuring the Tomcat nodes, installing the mod_jk module, and setting the workers.properties file. The goal is to demonstrate how to build a simple clustered environment to improve response times and allow scaling to over 5000 concurrent users.
Clustering: Large Databases in data miningZHAO Sam
The document discusses different approaches for clustering large databases, including divide-and-conquer, incremental, and parallel clustering. It describes three major scalable clustering algorithms: BIRCH, which incrementally clusters incoming records and organizes clusters in a tree structure; CURE, which uses a divide-and-conquer approach to partition data and cluster subsets independently; and DBSCAN, a density-based algorithm that groups together densely populated areas of points.
Clustering Technique for Collaborative Filtering Recommendation and Applicat...Pham Cuong
Clustering techniques can be used to improve collaborative filtering for venue recommendation. The document discusses using user clustering based on co-authorship networks and item clustering based on citation similarity between venues. Evaluation on DBLP and CiteSeerX datasets shows that clustering approaches provide better recommendation accuracy than standard collaborative filtering. Future work includes analyzing the impact of overlapping vs non-overlapping communities on recommendation quality.
This project report is an outcome of the genuine support of many well-wishers, friends and it is because of the co-operation that I received from various ends that this report has attained the shape that it deserves. I would like to extend my sincere thanks to all of them.
Effect of Online Advertisement In Online Shoppingalexkm123
a project study on effect of online advertisements in online shopping.
How online ads helps online business to make it more effective and reachable by customers.
3 ijaems sept-2015-4-mining consumer knowledge from shopping experience a ca...INFOGAIN PUBLICATION
E_Commerce becomes far much popular in recent years. E Commerce nowadays is almost everywhere. People go through online ; meanwhile, they are more and more accustomed to buy goods via E_Commerce channel. - The E-Commerce web sites are facing lots of problems today. Customers prefer traditional way to purchase the products and not from E-Commerce web sites. If we see the history of E-Commerce, then we get that E-Commerce is the purpose of Internet and the web to conduct business Even in recession, it is thriving and has become one of the most important consumption modes. This study uses cluster analysis to identify the profiles of E_Commerce consumers. The rules between E_Commerce spokespersons and commodities from consumers are recognized by using association analysis. Depicting the marketing knowledge map of spokespersons, the best endorsement portfolio is found out to make recommendations. By the analysis of spokespersons, period, customer profiles and products, four business modes of E_Commerce are proposed for consumers: new product, knowledge, low price and luxury product; the related recommendations are also provided for the industry reference.
An evaluation of effectiveness of advertising in mobile telecommunication ind...Chathura Abeysekara
This document summarizes a research study that evaluated the effectiveness of advertising in the mobile telecommunications industry in Sri Lanka, specifically among students at Rajarata University of Sri Lanka. The study found that four key factors affected customers' attention and purchasing decisions: 1) the message idea, 2) the topic or headline/words, 3) the advertising framework, and 4) advertising ethics. Message idea had the strongest impact, while advertising media did not significantly affect customers' decisions. The study provides useful insights for mobile companies on how to improve their advertising strategies.
Analytical CRM - Ecommerce analysis of customer behavior to enhance sales Shrikant Samarth
Task: You are required to choose a dataset (or related datasets) in an area of interest suitable for analyzing customer relationships.
Approach: Topic is chosen – Customer behavior Analysis in Ecommerce Industry for Enhancing Sales. Brazilian E-commerce public dataset was downloaded, cleaned and performed multiple regression in SPSS to check the relationship between the dependent variable and multiple independent variables.
Findings: Customer can be retained if the product delivered in time and if there is a delay in the product delivery, it is a duty of a seller to inform the customer for the same. The payment method has proven to be an important parameter to enhance sales over a period of time. analysis suggests on-time delivery, flexibility in payment method and good customer service would help the seller to gain customer trust which would help them to convert more sales.
Tools: IBM SPSS , Excel (pivot tables and charts), Tableau
Factors Affecting the Adoption of e-Commerce among Small Medium Enterprises (...Julius Noble Ssekazinga
To investigate and analyse the factors that affect e-commerce adoption among small and medium sized enterprises (SMEs) in Tanzania and the magnitude of these constraints in Tanzania using the systems framework. as researched by Julius Noble Ssekazinga.
This document analyzes the potential for computer aided marketing in the produce industry. It discusses the benefits of computerized marketing such as improved market information, operational efficiency, increased competition, improved market access, and higher grower prices. A survey of industry participants found positive attitudes towards computer aided marketing. The results were used to conceptualize a system that would complement existing marketing practices by facilitating information collection and dissemination.
This document discusses e-marketing strategies. It begins by defining e-marketing as using electronic media to perform marketing activities and achieve objectives. It then lists advantages like reduced costs and increased data collection, and disadvantages such as technology dependencies. The document outlines an e-marketing strategy process involving understanding the market and objectives, analyzing the environment, implementing tactics, and tracking results for optimization. Finally, it discusses strategic analysis, defining objectives, and implementing strategies to achieve objectives.
Running Head COLLECTING CUSTOMER DATA .docxhealdkathaleen
This document discusses strategies for a telecommunications company called Mofrica to improve customer retention through better collection and use of customer data. It recommends that Mofrica use a CRM system to track customer interactions and integrate technology. It also suggests segmenting customers, communicating often through various channels like social media, and collecting specific customer data like purchase history and satisfaction levels. Surveys should be used to evaluate customer experience and collect feedback. Both online surveys and email campaigns are proposed as methods to collect this customer data on an ongoing basis. The goal is to improve Mofrica's competitive advantage through more personalized customer service.
A STUDY ON CUSTOMERS SATISFACTION OF BARTI AIRTEL TELECOMMUNICATION IN TIRUPU...saravana vel.k
This document provides a literature review on customer satisfaction studies related to the telecommunications industry. It discusses several past studies that have found a direct relationship between increasing customer satisfaction and improved profits, market share, positive recommendations and lower marketing costs for companies. The review also summarizes various past studies that have analyzed customer satisfaction and perceptions of services from telecom providers in India such as BSNL, analyzing factors like promotional strategies, service quality and meeting customer expectations.
New research presented at Demand Metric Demand Generation Virtual Summit: http://events.demandmetric.com/
Watch the presentation: https://www.youtube.com/edit?video_referrer=watch&video_id=z1xy8lvpd3o
Marketers are faced with the challenge of keeping up with new, hopefully better, strategies that emerge at a rapid rate, while cutting ineffective practices waning in popularity. It’s very valuable for marketers to have benchmark data about how the current digital marketing landscape looks, what’s new, what’s working and what isn’t. Quite often, marketers can gain a competitive advantage simply by being quick to adopt new digital marketing strategies in advance of mass adoption that eventually dilutes the impact of new things.
This study, presented by Jerry Rackley, Chief Analyst at Demand Metric & Jim Hopkins, Sr. Product Manager at Demandbase, took a close look at digital marketing to understand current practices, goals, strategies, metrics and effectiveness. Furthermore, the study investigated how well organizations understand their chosen markets, who in those markets they target as prospects and what their biggest challenges are in the pursuit of success.
Adobe2013 digitalmarketingoptimizationsurvey finalreport_april2013JOSÉ RAMON CARIAS
The document summarizes key findings from the Adobe 2013 Digital Marketing Optimization Survey. The majority of companies spend 5% or less of their marketing budget on optimization activities like testing and personalization. Those spending over 25% on optimization see twice the website conversion rates of those spending less. While testing is important, only 11% of companies have adopted it company-wide, and over half still do manual testing. Personalization also remains underutilized, with only 22% automating content personalization.
The survey found that the majority (53%) of companies spend 5% or less of their marketing budget on optimization activities like testing. Those spending over 25% on optimization saw conversion rates twice as high. However, testing is still not a priority for 49% of respondents and only 11% have adopted it company-wide. Budget and resources are the top barriers to testing. The report concludes companies should start small with testing and focus on optimizing customer interactions to drive conversions.
The State of Always-On Marketing StudyIshraq Dhaly
This document summarizes the findings of a study on "Always-On Marketing" conducted by Razorfish and Adobe. The study surveyed 685 executives and found that:
1) Very few businesses (under 5%) have the capabilities to deliver personalized, real-time marketing across channels, despite many executives believing they do.
2) There is a large gap between perceived ability and actual ability, especially in France and Germany.
3) Company size and industry affect capabilities, with larger companies and retailers/tech companies more likely to be leaders in Always-On Marketing.
The document provides a case study report on market segmentation, targeting, and positioning strategies of Embraer executive jets in Bangladesh. It includes an executive summary, introduction covering the background, objectives, methodology, scope and limitations of the study. It also includes a literature review on key concepts. The next sections provide an overview of Embraer including its history, mission, vision, and product portfolio. Finally, it analyzes Embraer's market segmentation approaches, target markets, and positioning strategies.
EMA
INTERRUPTION MARKETING
PERMISSION MARKETING
COMPONENTS OF EMA
OPT-IN
OPT-OUT
CAMPAIGN PLANNING & MANAGEMENT
EMA engine components
PERSONALIZATION AND PRIVACY
Analyzing the opportunities of digital marketing in bangladesh to provide an ...IJMIT JOURNAL
The idea of marketing recently converging to Digital marketing and digital marketing is becoming the most effective means for building business-customer relationships with long-term loyalty. It is a matter of concern that how this convergence is taking place in developing countries like Bangladesh. In this paper, the impact of digital marketing on the customer engagement with products and brands is investigated using descriptive research method and is based on survey. This study attempts to find the most effective form of digital marketing in Bangladesh by taking responses using questionnaires from sample, which has been used as the primary data. This study aims to discover the factors that work background to make the customers loyal to the brand and to have a positive attitude toward brand. It also illustrates about the differences of traditional marketing and digital marketing and the changes brought by digital marketing in brands relationship marketing. Analysis of survey output shows that there is an overall positive influence of internet advertising on consumer purchase decision. It is recommended that companies should conduct a market research on different markets in various countries to identify more specific market related and regional factors.
This document summarizes a research study that examined the impact of digital marketing on business performance of e-commerce companies in Hyderabad, India. The study investigated how digital marketing orientation, perceived relative advantage of digital marketing over traditional methods, customer pressure, and level of competition affect strategic business performance.
A survey was conducted of 30 small and medium enterprises. The results found that only the level of competition had a statistically significant impact on strategic business performance. The other factors - digital marketing orientation, perceived relative advantage, and customer pressure - did not significantly influence business performance.
The study concludes that while digital marketing may not currently impact performance for all small businesses, as competition increases companies will need to adopt digital marketing to maintain competit
This document summarizes a research study that examined the impact of digital marketing on business performance of e-commerce companies in Hyderabad, India. The study investigated how digital marketing orientation, perceived relative advantage of digital marketing over traditional marketing, customer pressure, and level of competition affect strategic business performance.
A survey was conducted of 30 small and medium enterprises. The results found that only the level of competition had a statistically significant impact on strategic business performance. The other factors - digital marketing orientation, perceived relative advantage, and customer pressure - did not significantly influence business performance.
The study concludes that while digital marketing may not currently impact performance for all small businesses, as competition increases, firms will need to adopt digital marketing to maintain
This document summarizes a research study that examined the influence of customer relationship management (CRM) on product quality, competitive advantage, and marketing performance of small food businesses in East Java, Indonesia. The study found that CRM positively influences product quality, competitive advantage, and marketing performance. Product quality and competitive advantage also positively influence marketing performance. However, product quality was not found to influence competitive advantage. The study concluded that small food businesses should focus on product quality that meets customer tastes in order to improve their competitive advantage and marketing performance.
Similar to Combining clustering algorithms for provide marketing policy in electronic stores (20)
International Journal of Programming Languages and Applications (IJPLA)ijpla
International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Programming Languages and Applications. This journal is dedicated to the distribution of research results in the areas of Programming Languages and Applications.
A study of the Behavior of Floating-Point Errorsijpla
The dangers of programs performing floating-point computations are well known. This is due to numerical reliability issues resulting from rounding errors arising during the computations. In general, these round-off errors are neglected because they are small. However, they can be accumulated and propagated and lead to faulty execution and failures. Typically, in critical embedded systems scenario, these faults may cause dramatic damages (eg. failures of Ariane 5 launch and Patriot Rocket mission). The ufp (unit in the first place) and ulp (unit in the last place) functions are used to estimate maximum value of round-off errors. In this paper, the idea consists in studying the behavior of round-off errors, checking their numerical stability using a set of constraints and ensuring that the computation results of round-off errors do not become larger when solving constraints about the ufp and ulp values.
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)ijpla
Research Paper Submission..!!
Free Publication for Extended papers
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)
February 24 ~ 25, 2024, Vancouver, Canada
Webpage URL: https://acsty2024.org/mlsc/index
Submission Deadline: January 27, 2024
Selected papers from MLSC 2024, after further revisions, will be published in the special issues of the following journals.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal on Soft Computing (IJSC)
Information Technology in Industry (ITII)
Submission System Link: https://acsty2024.org/submission/index.php
Contact us:
Here's where you can reach us : mlsc@acsty2024.org or mlsc.conf@yahoo.com
#machinelearning #artificialintiligence #datamining #softcomputing #datascintific
International Conference on Antennas, Microwave and Microelectronics Engineer...ijpla
International Conference on Antennas, Microwave and Microelectronics Engineering (AMiMi 2024) will provide an excellent international forum for sharing knowledge andnew research results in all areas of Antennas, Microwave and Microelectronics Engineering. The conference focuses to promote interdisciplinary studies Antennas, Microwave and Microelectronics Engineering. Authors are solicited to contribute to this conference by submitting articles for the development of Antennas, Microwave and Microelectronics Engineering.Original research papers, state-of-the-art reviews are invited for publication in all areas of Antennas, Microwave and Microelectronics Engineering.
INVESTIGATION OF ATTITUDES TOWARDS COMPUTER PROGRAMMING IN TERMS OF VARIOUS V...ijpla
Java Language becomes the most common Object-Oriented Programming Language over the entire world. Students from Computer Sciences and Information Technology are struggling to lean Java concepts and programs on Java. That is because of the various difficulties in understanding Object Oriented concepts especially by novice programmers. This research adopts the design of interactive animation tool named LearnOOP which includes an animated visual model that shows the role of an object within a Java program. The visual object reflects the attributes and behaviour of that object to enhance students’ understanding. The interaction between the developed tool and students is conducted and the usability is measured using a questionnaire. The results show that the developed tool is more effective than using traditional teaching and positively impact learning. The results also have confirmed that LearnOOP tool is promising with respect to quality assurance, effectiveness and usability.
Research Paper Submission..!!! Free Publication for Extended papers 3rd Inter...ijpla
Research Paper Submission..!!!
Free Publication for Extended papers
3rd International Conference on Computing and Information Technology Trends (CCITT 2024)
January 13-14, 2024, Virtual Conference
https://ccitt2024.org/
Submission Deadline: December 30, 2023(Final Call)
Selected papers from CCITT 2024, after further revisions, will be published in the special issues of the following journals.
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal on Computational Science & Applications (IJCSA)
International Journal on Bioinformatics & Biosciences (IJBB)
International Journal On Cryptography And Information Security (IJCIS)
International Journal of Fuzzy Logic Systems (IJFLS)
International Journal of Mobile Network Communications & Telematics (IJMNCT)
International Journal of Programming Languages and Applications (IJPLA)
International Journal of Embedded Systems and Applications (IJESA)
Submission System URL:
https://ccitt2024.org/submission/index.php
Contact Us:
Here's where you can reach us : ccitt@ccitt2024.org or ccittconf@yahoo.com
#entrepreneur #motivation #success #inspiration #money #blackgirlsrock #blackgirls #wearemagical #knowledge #ai #coding #tech #technology #programmer #pc #design #interiordesign #art #decor #home #good #to #cool #türkiye #instadaily #love #truth #respect #truthbetold #lovelife #life #fashion #style #watch #bulletperf #bahrain #development #emcansolutions #branding #upsc #science #ias #ibps #bigdata #7wdata #artificialintelligence #painting #follow #picoftheday #sullen #bees #sullenclothing #glasgow #inkgeeks #math #physicsfun #astronomy #physicsmemes #devops #iot #azure #php #researchers
2nd International Conference on Computing and Information Technology (CITE 2024)ijpla
2nd International Conference on Computing and Information Technology (CITE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and Information Technology.
A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problemsijpla
Bio-Inspired computing is the subset of Nature-Inspired computing. Job Shop Scheduling Problem is
categorized under popular scheduling problems. In this research work, Bacterial Foraging Optimization
was hybridized with Ant Colony Optimization and a new technique Hybrid Bacterial Foraging
Optimization for solving Job Shop Scheduling Problem was proposed. The optimal solutions obtained by
proposed Hybrid Bacterial Foraging Optimization algorithms are much better when compared with the
solutions obtained by Bacterial Foraging Optimization algorithm for well-known test problems of different
sizes. From the implementation of this research work, it could be observed that the proposed Hybrid
Bacterial Foraging Optimization was effective than Bacterial Foraging Optimization algorithm in solving
Job Shop Scheduling Problems. Hybrid Bacterial Foraging Optimization is used to implement real world
Job Shop Scheduling Problems
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)ijpla
5th International Conference on Machine Learning and Soft Computing (MLSC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications Machine learning and Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Programming Languages and Applications ( IJPLA )ijpla
International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Programming Languages and Applications. This journal is dedicated to the distribution of research results in the areas of Programming Languages and Applications. Programming Languages
3rd International Conference on Computing and Information Technology Trends (...ijpla
3rd International Conference on Computing and Information Technology Trends (CCITT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects.
HIGH-LEVEL LANGUAGE EXTENSIONS FOR FAST EXECUTION OF PIPELINE-PARALLELIZED CO...ijpla
The last few years have seen multicore architectures emerge as the defining technology shaping the future
of high-performance computing. Although multicore architectures present tremendous performance
potential, to realize the true potential of these systems, software needs to play a key role. In particular,
high-level language abstractions and the compiler and the operating system should be able to exploit the
on-chip parallelism and utilize underlying hardware resources on these emerging platforms. This paper
presents a set of high-level abstractions that allow the programmer to specify, at the source-code level, a
variety to of parameters related to parallelism and inter-thread data locality. These abstractions are
implemented as extensions to both C and Fortran. We present the syntax of these directives and also
discuss their implementation in the context of source-to-source transformation framework and autotuning
system. The abstractions are particularly applicable to pipeline parallelized code. We demonstrate the
effectiveness of these strategies of a set of pipeline parallel benchmarks on three different multicore
platforms.
Research Paper Submission- 5th International Conference on Machine Learning a...ijpla
Research Paper Submission..!!
Free Publication for Extended papers
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)
February 24 ~ 25, 2024, Vancouver, Canada
Webpage URL: https://acsty2024.org/mlsc/index
Submission Deadline: December 02, 2023
Selected papers from MLSC 2024, after further revisions, will be published in the special issues of the following journals.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal on Soft Computing (IJSC)
Information Technology in Industry (ITII)
Submission System Link: https://acsty2024.org/submission/index.php
Contact us:
Here's where you can reach us : mlsc@acsty2024.org or mlsc.conf@yahoo.com
Submit Your Articles- International Journal of Programming Languages and Appl...ijpla
International journal of Programming Languages and applications is dedicated to the distribution of research results in the areas of Programming Languages and applications.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Programming Languages.
Formal treatments of inheritance are rather scarce and those that do exist are often more suited for
analysis of existing systems than as guides to language designers. One problem that adds complexity to
previous efforts is the need to pass a reference to the original invoking object throughout the method call
tree. In this paper, a novel specification of inheritance semantics is given. The approach dispenses with
self-reference, instead using static and dynamic scope to accomplish similar behaviour. The result is a
methodology that is simpler than previous specification attempts, easy to understand, and sufficiently
expressive. Moreover, an inheritance system based on this approach can be implemented with relatively
few lines of code in environment-passing interpreters.
Research Paper Submission- International Conference on Computer Science, Info...ijpla
International Conference on Computer Science, Information Technology & AI (CSITAI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Information Technology and Artificial Intelligence. The Conference looks for significant contributions to all major fields of the Computer Science, Information Technology and AI in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Paper Submission-3rd International Conference on Computing and Infor...ijpla
Research Paper Submission..!!!
Free Publication for Extended papers
3rd International Conference on Computing and Information Technology Trends (CCITT 2024)
January 13-14, 2024, Virtual Conference
https://ccitt2024.org/
Submission Deadline: November 18, 2023
Selected papers from CCITT 2024, after further revisions, will be published in the special issues of the following journals.
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal on Computational Science & Applications (IJCSA)
International Journal on Bioinformatics & Biosciences (IJBB)
International Journal On Cryptography And Information Security (IJCIS)
International Journal of Fuzzy Logic Systems (IJFLS)
International Journal of Mobile Network Communications & Telematics (IJMNCT)
International Journal of Programming Languages and Applications (IJPLA)
International Journal of Embedded Systems and Applications (IJESA)
Submission System URL:
https://ccitt2024.org/submission/index.php
Contact Us:
Here's where you can reach us : ccitt@ccitt2024.org or ccittconf@yahoo.com
Submit Your Articles- International Journal of Programming Languages and Appl...ijpla
Submit Your Articles...!!!
International Journal of Programming Languages and Applications ( IJPLA )
Website URL:http://airccse.org/journal/ijpla/ijpla.html
Submission Deadline: November 19, 2023
Submission URL - https://airccse.com/submissioncs/home.html
Contact Us: Here's where you can reach us : ijplajournal@yahoo.com (or) ijplajournal@wireilla.com
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
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Combining clustering algorithms for provide marketing policy in electronic stores
1. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
COMBINING CLUSTERING ALGORITHMS FOR
PROVIDE MARKETING POLICY IN ELECTRONIC
STORES
Farhad Soleimanian Gharehchopogh1, Yasin Rahimpour2 and
Seyyed Reza Khaze3
1
Department of Computer Engineering, Urmia Branch, Islamic Azad University,
Urmia, Iran
2
Department of Computer Engineering, Science and Research Branch,
Islamic Azad University, West Azerbaijan, Iran
3
Department of Computer Engineering, Dehdasht Branch,
Islamic Azad University, Iran,
ABSTRACT
One of the main challenges of electronic market is how to attract customers as various products and
customers’ preferences effect widely on it. In this paper, we have started to categorize electronic markets
customers using k-means, En, Farthest first algorithms to determine marketing policies and customer
satisfaction and indicated that each algorithm either cover the weakness of cluster analyzing of other
algorithms for some customers or integrated data of all algorithm analyses which provided detailed results
of customers’ behavioral methods and its relation with their shopping basket could finally lead us to more
income and increased productivity using obtained analyses.
KEYWORDS
Clustering, E-marketing, EM algorithm, k-mean algorithm, Farthestfirst algorithm
1. INTRODUCTION
Due to the increasing growth of E-commerce in internet world which resulted in commercial
affairs facility, costs decrease and sales medium eliminating, the competition in this market
wouldn’t be so easy and require performing a series of activities which lead to the promotion in
this competitive market. The main element of E-commerce in internet is how to attract customer.
Certainly, customer clustering will provide an opportunity to more profit and success in
marketing in such websites. In clustering the customers of E-commerce websites, the customers
buying data and features are collected and stored in databases which can be used them to get the
best strategy in the market. So, the main goal of this paper is to provide customer clustering and
analyses to get the best strategy on available data in each clustering.
One of the main challenges of electronic market is how to attract customers as various products
and customers’ preferences effect widely on it. To do so, we need methods such as clustering to
categorize the data rapidly. Along with, confidence is also another important factor which highly
effected marketing [1].
DOI : 10.5121/ijpla.2014.4103
35
2. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
2. CLUSTERING APPLICATION IN E-STORE MARKETING
Clustering is one of the sub-categories of data mining [2, 3] and is a process in which the similar
samples are divided into groups called cluster [4]. Each cluster includes samples in which the
members are similar to each other and different with the available samples of other groups [5].
Due to the clustering capabilities in marketing, it is developed to provide more profit to
customers. E-commerce websites is a field in which marketing plays an important role in
increasing incomes.
To attract more customers, it must be used modern methods such as clustering to increase income
rate [6]. In fact, clustering make the websites capable to identify their customers and support them
to be successful in obtaining profit and dealing with their competitors. As these websites are
designed to develop their strategies and policies considering determined clusters, it would be a
defined and specified rating to develop target customers [7].
3. CUSTOMER ELECTRONICS STORES CLUSTERING: A CASE STUDY
In this paper, to represent the clustering applications in relationship among customers behavioral
methods while buying and their buying basket and also in determining supportive policies to
increase profit and productivity based on similarities and differences of various groups of
customers, we begin to cluster customers of Chare E-shopping in Urmia city [8]. Firstly, there
were a lot of parameters about customers behavioral and favorite methods in which some of them
such as gender, education, occupation, income, type of buying and satisfaction scale are selected.
By gathering the noted parameters data from 100 customers of Chare e-shopping which is
available in Table 1, we begin to cluster customers and provide analyses and results in following
paragraphs.
Table1. Data related to 100 customers of E-shops in Urmia City
sex
age
Level of Education
Job
income
Activity
Satisfaction
MALE
19
diploma
Unemployed
low
Book
Yes
MALE
39
Bachelor
Employee
medium
Audio and video
No
MALE
43
Master's Degree licence
Employee
high
Yes
FEMALE
33
Ph.D.
Employee
high
software &
hardware
Multimedia
MALE
56
under diploma
Free
high
Audio and video
Yes
MALE
20
diploma
Unemployed
low
No
MALE
35
Bachelor
Unemployed
low
software &
hardware
Multimedia
MALE
32
Master's Degree licence
Employee
high
MALE
50
Ph.D.
Employee
high
MALE
23
associate degree
Unemployed
low
MALE
21
diploma
Unemployed
MALE
28
Master's Degree licence
MALE
23
Bachelor
Yes
Yes
software &
hardware
Book
Yes
Yes
low
software &
hardware
Multimedia
Free
medium
Book
Yes
Free
low
Multimedia
Yes
Yes
No
36
3. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
FEMALE
22
under diploma
Unemployed
low
Audio and video
No
MALE
18
under diploma
Unemployed
low
Book
Yes
MALE
18
under diploma
Unemployed
low
Multimedia
Yes
MALE
43
Ph.D.
Employee
high
Book
Yes
FEMALE
60
Ph.D.
Employee
high
Audio and video
Yes
MALE
43
Master's Degree licence
Free
high
Yes
FEMALE
43
Master's Degree licence
Employee
medium
software &
hardware
Book
MALE
40
Diploma
Free
low
Audio and video
Yes
FEMALE
18
Diploma
Unemployed
low
Multimedia
Yes
MALE
17
under diploma
Unemployed
low
Multimedia
Yes
MALE
20
Diploma
Unemployed
low
Multimedia
Yes
MALE
18
Diploma
Free
high
Yes
MALE
19
Diploma
Unemployed
low
MALE
32
Bachelor
Free
medium
FEMALE
42
Bachelor
Employee
medium
MALE
23
Bachelor
Free
medium
FEMALE
43
Bachelor
Employee
high
software &
hardware
software &
hardware
software &
hardware
software &
hardware
software &
hardware
Book
FEMALE
44
Bachelor
Employee
high
Yes
MALE
22
Diploma
Free
medium
software &
hardware
Multimedia
MALE
22
under diploma
Free
medium
Audio and video
Yes
FEMALE
19
under diploma
Unemployed
low
Audio and video
Yes
MALE
16
under diploma
Unemployed
low
Audio and video
Yes
MALE
30
Master's Degree licence
Employee
medium
Audio and video
Yes
FEMALE
24
Bachelor
Employee
medium
Audio and video
Yes
MALE
16
under diploma
Unemployed
low
Audio and video
Yes
FEMALE
19
under diploma
Unemployed
low
No
FEMALE
32
Bachelor
Employee
medium
FEMALE
34
Bachelor
Free
low
MALE
26
Bachelor
Employee
medium
MALE
24
Bachelor
Free
medium
software &
hardware
software &
hardware
software &
hardware
software &
hardware
book
FEMALE
29
Bachelor
Free
high
book
Yes
MALE
37
Ph.D.
Employee
high
book
Yes
FEMALE
45
Ph.D.
Employee
high
multimedia
Yes
MALE
32
associate degree
Employee
medium
multimedia
Yes
MALE
22
under diploma
Unemployed
low
book
No
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
37
4. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
MALE
19
under diploma
Unemployed
low
book
No
MALE
21
diploma
Unemployed
low
book
No
FEMALE
27
diploma
Free
medium
multimedia
No
MALE
23
associate degree
Employee
medium
multimedia
Yes
MALE
32
Ph.D.
Employee
medium
Audio and video
Yes
FEMALE
46
Ph.D.
Free
high
Audio and video
Yes
MALE
19
under diploma
Unemployed
low
Yes
MALE
21
diploma
Unemployed
low
software &
hardware
multimedia
MALE
22
diploma
Free
low
book
Yes
MALE
22
associate degree
Free
low
book
Yes
FEMALE
28
Bachelor
Free
high
book
Yes
MALE
23
Bachelor
Unemployed
medium
Yes
MALE
16
under diploma
Unemployed
low
software &
hardware
multimedia
MALE
15
under diploma
Unemployed
low
multimedia
Yes
FEMALE
28
Bachelor
Employee
medium
book
Yes
FEMALE
38
Bachelor
Employee
medium
Yes
MALE
46
Ph.D.
Employee
high
MALE
24
Bachelor
Employee
medium
software &
hardware
software &
hardware
multimedia
FEMALE
24
associate degree
Employee
medium
multimedia
Yes
MALE
24
under diploma
Free
medium
multimedia
No
MALE
17
under diploma
Unemployed
low
multimedia
No
FEMALE
36
Bachelor
Free
medium
Yes
FEMALE
32
Bachelor
Free
medium
MALE
34
Bachelor
Employee
medium
MALE
21
diploma
Unemployed
low
software &
hardware
software &
hardware
software &
hardware
book
FEMALE
29
Master's Degree licence
Employee
high
Audio and video
Yes
MALE
18
under diploma
Unemployed
low
multimedia
Yes
MALE
18
under diploma
Unemployed
low
book
Yes
MALE
17
under diploma
Unemployed
low
book
Yes
MALE
16
under diploma
Unemployed
low
multimedia
Yes
FEMALE
22
Bachelor
Employee
medium
Yes
MALE
52
Ph.D.
Employee
medium
software &
hardware
multimedia
FEMALE
22
diploma
Employee
medium
multimedia
Yes
MALE
23
Bachelor
Employee
medium
book
Yes
FEMALE
21
diploma
Employee
medium
book
Yes
FEMALE
27
diploma
Employee
medium
book
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
38
5. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
FEMALE
29
diploma
Employee
medium
book
Yes
FEMALE
22
associate degree
Unemployed
low
Audio and video
No
FEMALE
22
associate degree
Unemployed
low
multimedia
No
MALE
21
diploma
Unemployed
low
multimedia
Yes
FEMALE
28
under diploma
Free
high
multimedia
Yes
MALE
32
Ph.D.
Employee
high
Audio and video
Yes
FEMALE
22
diploma
Unemployed
low
No
FEMALE
27
Master's Degree licence
Employee
medium
Yes
MALE
25
Bachelor
Unemployed
low
software &
hardware
software &
hardware
book
MALE
18
Diploma
Unemployed
low
book
Yes
MALE
27
Bachelor
Employee
high
Audio and video
Yes
FEMALE
28
Master's Degree licence
Employee
high
Audio and video
No
MALE
29
Master's Degree licence
Free
medium
Yes
FEMALE
19
Diploma
Unemployed
low
MALE
18
Diploma
Unemployed
low
software &
hardware
software &
hardware
book
FEMALE
25
Bachelor
Unemployed
low
book
Yes
Yes
Yes
Yes
4. CUSTOMERS CLUSTERING USING DATA MINING ALGORITHMS
EM is one of the assigned algorithms of clustering and can determine how clusters can create
cross-validation. EM algorithm is used to find maximum possible parameters of statistical model
in equations which aren’t directly solvable [9]. These models usually include potential variables
to increase unknown parameters. It means that either there is lost scales among data or the model
can be easily adjusted if it is supposed that there are additional data in unseen points. We, in this
paper, assign a possible distribution using this algorithm and indicate the possibility of belonging
to each customer cluster. K-means is one of the most popular and simple algorithms which simply
solve clustering problem [10]. Here, central K is defined for each cluster of customers. These
centers must be selected with high accuracy [11]. Due to the features of this algorithm, the
numbers of customer clusters are determined in advance, and then each customer (in the case of
similarity) is placed in determined cluster after comparing to customer cluster center. Here, the
customers are divided in 4 clusters because if the different centers are selected, it might be created
different results. So, the best way to choose centers is that they have the maximum distance from
each other. In the next stage, the most similar customer to the cluster centers is assigned to that
one. In the next stage, the customers’ clusters centers are updated and then the previous stage is
repeated as far as no changes occur in cluster. In this case, the customers clustering are finished.
Farthestfirst algorithm is another type of k-means which determine the location of cluster center
in the farthest point than the available clusters centers [12].
In following, using clustering algorithms to cluster customers, firstly one of the customers is
considered as the first cluster center and the next customer as the farthest to the first center and
then the third one for the farthest customer to two other customer centers. The final clustering
includes the noted stages repetition.
39
6. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
5. DISCUSSION
We, in this paper, use weka tools which are open and free source tool to implement data mining
projects [13],[14]. The used k-means results are indicated in Table 2 using this tool to customer
clustering.
Table2. Data related to clustering using k-means algorithm
cluster 0
cluster 2
cluster 3
sex
FEMALE
FEMALE
MALE
MALE
age
20.3333
32.9348
27.4737
20.3478
Level of
Education
under
diploma
Bachelor
diploma
diploma
Activity
Book
soft &
hardware
book
Multimedia
Satisfaction
No
Yes
Yes
Yes
Clustered
Instances
k-mean
cluster 1
12%
46%
19%
23%
As it is shown, in obtained clusters of –means algorithm, it is assigned clusters 0 and 1 to females
and 2 and 3 to males, respectively. Cluster 0 indicated that the women with average 20 years old
were mainly under diploma degree, bought books and were displeased about it. The obtained
results of Cluster 1 also indicated that women with average 32 years old were bachelor and
bought software and hardware and had relative satisfaction about it.
As this cluster includes 46% of sample community, it can be considered marketing policies and
customer attracting regarding the requirements of this group of customers and tried to keep their
satisfaction. It can also be modified dissatisfaction rate of buying books via customers’ feedback.
By gathering their comments, it can be provide their desirable books based on age range of buyers
and promote the satisfaction rate. The obtained results of Cluster 2 and 3 indicated that the
provided books in shop is according to men needs and had medium scientific level. It was also
proper for average 27 years old. The provided multimedia is identified appropriately and this
approach can be followed in the shop due to its cheerful and youth favorite products.
We also begin to customer clustering using EM algorithm. The results are indicated in Table 3.
40
7. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
Table3. Data related to clustering using EM algorithm
cluster 0
cluster 2
cluster 3
sex
MALE
MALE
MALE
MALE
age
Level of
Education
40.5116
21.2108
17.6175
26.979
PH.D
Diploma
under diploma
Bachelor
Activity
Audio &
video
book
multimedia
software
&hardware
Satisfaction
EM
cluster 1
Yes
no
Yes
Yes
Clustered
Instances
26%
16%
21%
37%
The results of this algorithm clustering allocate to the men which brings advantages and
challenges as well. The advantage will be that it provides more detailed results about this gender.
The challenge is the lack of marketing and the need to do it for females. So, it can be optimally
used this clustering to determine marketing policies of male customers. The results indicated that
men with average 40 years old were mostly tend to buy audio and video products and as they
average grade were PhD, so they had high satisfaction. The obtained data indicated that they had
relative satisfaction about provided products in the market and this approved that these products
had high quality.
The youth men who tend to buy books with average 20 years old have shown dissatisfaction. The
similar one is also obtained in results of K-means algorithm which provided for women with the
same age range. Clearly, due to the obtained results, it must be reviewed about the provided
books appropriate to the different age range in the market. In clusters 2 and 3, it is also shown that
either men or women feel satisfied about the provided software and hardware products.
Considering the results of EM and K-means algorithms, the buying average rates of these
products belong to those who had bachelor degree. FM algorithm is also demonstrated the
obtained results of 17-20 age range for men. These results have shown that the multimedia
products of this shop provided full satisfaction for the customers who had mean degree. The
obtained results of Farthestfrirst have been solved some challenges of other algorithms in
customers' clustering. The obtained results are indicated in Table 4.
Table 4: data related to clustering using Farthestfirst algorithm
cluster 0
cluster 1
cluster 2
FEMALE
MALE
FEMALE
MALE
age
22
52
29
40
Level of
Education
associate
degree
Audio &
video
Ph.D.
bachelor
diploma
multimedia
book
Audio & video
yes
Yes
Yes
sex
farthestfirst
Activity
Satisfaction
Clustered
Instances
No
17%
27%
26%
cluster 3
30%
41
8. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
The clustering we have had with previous algorithms has brought ambiguity for young women
customers who proposed to by audio and video products in finding marketing policies type. By
using achieved results of farthestfirst algorithm, it is shown that women with average 22 years old
feel dissatisfied about provided audio and video products in the market. It is also indicated that
women who averaged 29 years old purchase book and feel satisfied about it. It must be note that
the average grade of this cluster was bachelor. The men with average 52 years old begin to
purchase multimedia products and feel satisfied about it. Men with diploma who bought audio
and video products had average 40 years old and feel satisfied. The achieved data of 3 algorithms
results are shown in Table 5.
Table5. Analyzed data of customer clustering
Type of product
Analysis
Analytical results
Audio and Video
(Normal quality for playback on
Mobile)
Gender-based
Among people at all levels of school satisfaction
there, but there is dissatisfaction among young
women. Therefore take gender-specific and
product-related men.
Hardware and Software
education-based
Most applicants for such products have a bachelor's
degree and are satisfied with the purchase. This
product has not bought the other Degrees
Book
Multimedia
( high quality for playback on
computer)
Age-based
Gender-based
Who range in age from 20 to 21 and have put them
under graduate degree has been reluctant to
purchase books. There is no difference between
men and women. People in the age range 27 to 29
years have been, men with diploma And women
with bachelor's degrees, have been satisfied from
buying books.
None of the clusters, buy Multimedia has been
done by women. All purchases from the monopoly
of men And in all age ranges and for all
qualifications have satisfied.
7. CONCLUSIONS
Each clustering algorithms are solely capable of focusing on particular parts of customers'
data in electronic shops. This focus brings better and more detailed results to the same
parts. Meanwhile, in analysing other parts, due to the lack of clustering analyses, it brings
challenges to them. So, each algorithm is capable of doing detailed analyses of some
parts of customers' data. To provide comprehensive results and clustering analyses, it
must be used several integrated and clustering algorithms. We, in this paper, investigate
different types of methods and clustering algorithms. Finally, by using K-means, farthest
first, EM samples of customers of an E-commerce websites, we made clustering vie
Weka software.
42
9. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
We indicated that each algorithm covers the clustering analyses weaknesses of other
algorithms for some customers. The integrated data of all algorithms analyses brings
detailed results from customers' behavioural method and its relation with shopping basket
as well. So, by using integrated collective data, it can be determined marketing policies
and customer satisfaction appropriate to all customers' clustering and their orientation
which finally lead to increased productivity and incomes.
7. REFERENCES
[1] Sohrabi S., Nikkhahan B., Khoshalhan, F.(2008), Customer clustering based on trust formation factor
with Genetic Algorithm, International Conference of Innovation in Redefining Business Horizons ,
IMT Ghaziabad, India
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Authors
Farhad Soleimanian Gharehchopogh is currently Ph.D. candidate in
department of computer engineering at Hacettepe University, Ankara, Turkey.
And he works an honour lecture in computer engineering department, science
and research and Urmia branches, Islamic Azad University, West Azerbaijan,
Iran. He is a member of editorial board and review board in many international
journals and international Conferences. His interested research areas are in the
Operating Systems, Software Cost Estimation, Data Mining and Machine
Learning techniques and Natural Language Processing. For more information
please visit www.soleimanian.net
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10. International Journal of Programming Languages and Applications ( IJPLA ) Vol.4, No.1, January 2014
Yasin Rahimpour is a M.Sc. student in Computer Engineering Department,
Science and Research Branch, Islamic Azad University, West Azerbaijan,
Iran. His interested research areas are Meta Heuristic Algorithms, Data
Mining and Machine learning Techniques.
Seyyed Reza Khaze is a Lecturer and Member of the Research Committee of
the Department of Computer Engineering, Dehdasht Branch, Islamic Azad
University, Iran. He is a Member of Editorial Board and Review Board in
Several International Journals and National Conferences. His interested
research areas are in the Software Cost Estimation, Machine learning, Data
Mining, Optimization and Artificial Intelligence.
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