This document discusses achieving data truthfulness and privacy preservation in data markets. It proposes a system called TPDM that aims to ensure data honesty and privacy preservation simultaneously. TPDM allows data contributors to honestly submit their own data without impersonating others, and requires the service provider to honestly collect and process data. It also protects both the personally identifiable information and sensitive data of contributors. The document describes how TPDM could be implemented for profile matching and data distribution services, and evaluates its performance on real-world datasets. Ensuring both data honesty and privacy is challenging but important for the healthy development of data markets.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Making isp business profitable using data miningijitcs
This Data mining is a new powerful technology with great potential to extract hidden predictive
information from large databases. Tools of data mining scour databases for hidden patterns, predict future
trends and behaviours which allow businesses to make proactive, knowledge driven decision. This paper
analyzes ISP’s (Internet Service Provider) data to generate association rules for frequent patterns and
apply the criteria support and confidence to identify the most important relationships. Here, Apriori
algorithm is used to mine association rules. Furthermore, the conclusion point out business challenges and
provides the proposals of making ISP business profitable.
Management Information System
We Also Provide SYNOPSIS AND PROJECT.
Contact www.kimsharma.co.in for best and lowest cost solution or
Email: amitymbaassignment@gmail.com
Call: 9971223030
Data Exchange Design with SDMX Format for Interoperability Statistical DataNooria Sukmaningtyas
Today’s concept of Open Government Data (OGD) for openness, transparency and ease of
access of data owned by government agencies becomes increasingly important. This initiative emerges
from the demand of data usersforthe data belongs to the government agencies. The data services
providing an easy access, cheap, fast, and interoperability are needed by the users and becomes
important indicator performance for respective government agencies. Statistical Data and Metadata
Exchange (SDMX) is a new standard format in the data dissemination activities particularly in the
exchange of statistical data and metadata via Internet. In this respect SDMX support the implementation of
OGD project. This paper is on the technical design, development and implementation of data and
metadata exchange service of statistical data using SDMX format to support interoperability data through
web services. Three results are proposed: (i) framework for standardization of structure of statistical
publications data model with SDMX; (ii) design architecture of data sharing model; and (iii) web service
implementation of data and metadata exchange service using Service Oriented Analysis and Design
(SOAD) method. Implementation at Statistics Indonesia (BPS) is chosen as a case study to prove the
design concept. It is shown through quantitative assessment and black box testing that the design
achieves its objective.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Making isp business profitable using data miningijitcs
This Data mining is a new powerful technology with great potential to extract hidden predictive
information from large databases. Tools of data mining scour databases for hidden patterns, predict future
trends and behaviours which allow businesses to make proactive, knowledge driven decision. This paper
analyzes ISP’s (Internet Service Provider) data to generate association rules for frequent patterns and
apply the criteria support and confidence to identify the most important relationships. Here, Apriori
algorithm is used to mine association rules. Furthermore, the conclusion point out business challenges and
provides the proposals of making ISP business profitable.
Management Information System
We Also Provide SYNOPSIS AND PROJECT.
Contact www.kimsharma.co.in for best and lowest cost solution or
Email: amitymbaassignment@gmail.com
Call: 9971223030
Data Exchange Design with SDMX Format for Interoperability Statistical DataNooria Sukmaningtyas
Today’s concept of Open Government Data (OGD) for openness, transparency and ease of
access of data owned by government agencies becomes increasingly important. This initiative emerges
from the demand of data usersforthe data belongs to the government agencies. The data services
providing an easy access, cheap, fast, and interoperability are needed by the users and becomes
important indicator performance for respective government agencies. Statistical Data and Metadata
Exchange (SDMX) is a new standard format in the data dissemination activities particularly in the
exchange of statistical data and metadata via Internet. In this respect SDMX support the implementation of
OGD project. This paper is on the technical design, development and implementation of data and
metadata exchange service of statistical data using SDMX format to support interoperability data through
web services. Three results are proposed: (i) framework for standardization of structure of statistical
publications data model with SDMX; (ii) design architecture of data sharing model; and (iii) web service
implementation of data and metadata exchange service using Service Oriented Analysis and Design
(SOAD) method. Implementation at Statistics Indonesia (BPS) is chosen as a case study to prove the
design concept. It is shown through quantitative assessment and black box testing that the design
achieves its objective.
An efficient data pre processing frame work for loan credibility prediction s...eSAT Journals
Abstract
In today's world data mining have increasingly become very interesting and popular in terms of all applications especially in the
banking industry. We have too much data and too much technology but don't have useful information. This is why we need data
mining process. The importance of data mining is increasing and studies have been done in many domains to solve tons of
problems using various data mining techniques. The art of preparing data for data mining is the most important and time
consuming phase. In developing countries like India, bankers should vigilant to fraudsters because they will create more problems
to the banking organization. Applying data mining techniques, it is very effective to build a successful predictive model that helps
the bankers to take the proper decision. This paper covers the set of techniques under the umbrella of data preprocessing based
on a case study of bank loan transaction data. The proposed model will help to distinguish borrowers who repay loans promptly
from those who do not. The frame work helps the organizations to implement better CRM by applying better prediction ability.
Keywords: Data preprocessing, Customer behavior, Input columns, Outlier columns, Target column, Dataset, CRM
Hybrid distributed application in banking transaction using remote method inv...TELKOMNIKA JOURNAL
Today banks have many branches in big cities of the world. System usually used a central database in a particular city. Increased of database server performance due to number of users accessing this application should not degrade performance of application. To keep database server performance optimally, application must distributed to the network. In distributed applications it takes a remote method call, that is why we are going to used Remote Method Invocation to develop this system. Based on results of analysis conducted, author can draw following conclusion of the application, which is once the client get a reference from the remote object then method of remote object is called like calling method from local object and methods that we have defined and implemented on remote object can we call or use both on desktop and web applications so we do not need to work twice. This approach makes more effective and efficient in application development, allows for better optimization, eliminates the need for processing of type information at run time and makes a light weight communication protocol possible. We have built a hybrid application, which supports both compile time and run time generation of marshallers in desktop and web application.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Technology & Innovation - User Experience in Business Database SystemsCris Ong
Formulate a business solution to a potential customer or supplier that is currently facing problems with the current manual or inadequate system. Critically discuss the issues raised by your study with regard to a concept or theory related to the design of information systems.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
Proposed ranking for point of sales using data mining for telecom operatorsijdms
This study helps telecom companies in making decisions that optimize its sales points to reduce costs, also
to identify profitable customers and churn ones. This study builds two research models; physical model for
continuous mining of database where ever it resides i.e., as we have On Line Analytic Processing (OLAP)
we must have On Line Data Mining (OLDM), and logical model using Technology Acceptance Model.
Previous Studies showed that using basic information of customers, call details and customer service
related data, a model can effectively achieve accurate prediction data.
This research gives a new definition and classification for telecommunication services from the data
mining point of view. Then this research proposed a formula for total rank a shop and each term of this
formula gives a sub rank. The proposed example shows that even a shop with lower numbers of population
and visitors, it still has higher rank.
This research suggested that telecom operators has to concentrate more on their e-shopping and epayment
as it is more cost effective and use data from shops for marketing issues. Some assumptions made
in this study need to be validated using surveys, also proposed ranking should be applied on live database.
Data Mining in Telecommunication Industryijsrd.com
Telecommunication companies today are operating in highly competitive and challenging environment. Vast volume of data is generated from various operational systems and these are used for solving many business problems that required urgent handling. These data include call detail data, customer data and network data. Data Mining methods and business intelligence technology are widely used for handling the business problems in this industry. The goal of this paper is to provide a broad review of data mining concepts.
Mining the Web Data for Classifying and Predicting Users’ RequestsIJECEIAES
Consumers are the most important asset of any organization. The commercial activity of an organization booms with the presence of a loyal customer who is visibly content with the product and services being offered. In a dynamic market, understanding variations in client‟s behavior can help executives establish operative promotional campaigns. A good number of new consumers are frequently picked up by traders during promotions. Though, several of these engrossed consumers are one-time deal seekers, the promotions undeniably leave a positive impact on sales. It is crucial for traders to identify who can be converted to loyal consumer and then have them patronize products and services to reduce the promotion cost and increase the return on investments. This study integrates a classifier that allows prediction of the type of purchase that a customer would make, as well as the number of visits that he/she would make during a year. The proposed model also creates outlines of users and brands or items used by them. These outlines may not be useful only for this particular prediction task, but could also be used for other important tasks in e-commerce, such as client segmentation, product recommendation and client base growth for brands.
An efficient data pre processing frame work for loan credibility prediction s...eSAT Journals
Abstract
In today's world data mining have increasingly become very interesting and popular in terms of all applications especially in the
banking industry. We have too much data and too much technology but don't have useful information. This is why we need data
mining process. The importance of data mining is increasing and studies have been done in many domains to solve tons of
problems using various data mining techniques. The art of preparing data for data mining is the most important and time
consuming phase. In developing countries like India, bankers should vigilant to fraudsters because they will create more problems
to the banking organization. Applying data mining techniques, it is very effective to build a successful predictive model that helps
the bankers to take the proper decision. This paper covers the set of techniques under the umbrella of data preprocessing based
on a case study of bank loan transaction data. The proposed model will help to distinguish borrowers who repay loans promptly
from those who do not. The frame work helps the organizations to implement better CRM by applying better prediction ability.
Keywords: Data preprocessing, Customer behavior, Input columns, Outlier columns, Target column, Dataset, CRM
Hybrid distributed application in banking transaction using remote method inv...TELKOMNIKA JOURNAL
Today banks have many branches in big cities of the world. System usually used a central database in a particular city. Increased of database server performance due to number of users accessing this application should not degrade performance of application. To keep database server performance optimally, application must distributed to the network. In distributed applications it takes a remote method call, that is why we are going to used Remote Method Invocation to develop this system. Based on results of analysis conducted, author can draw following conclusion of the application, which is once the client get a reference from the remote object then method of remote object is called like calling method from local object and methods that we have defined and implemented on remote object can we call or use both on desktop and web applications so we do not need to work twice. This approach makes more effective and efficient in application development, allows for better optimization, eliminates the need for processing of type information at run time and makes a light weight communication protocol possible. We have built a hybrid application, which supports both compile time and run time generation of marshallers in desktop and web application.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Technology & Innovation - User Experience in Business Database SystemsCris Ong
Formulate a business solution to a potential customer or supplier that is currently facing problems with the current manual or inadequate system. Critically discuss the issues raised by your study with regard to a concept or theory related to the design of information systems.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
Proposed ranking for point of sales using data mining for telecom operatorsijdms
This study helps telecom companies in making decisions that optimize its sales points to reduce costs, also
to identify profitable customers and churn ones. This study builds two research models; physical model for
continuous mining of database where ever it resides i.e., as we have On Line Analytic Processing (OLAP)
we must have On Line Data Mining (OLDM), and logical model using Technology Acceptance Model.
Previous Studies showed that using basic information of customers, call details and customer service
related data, a model can effectively achieve accurate prediction data.
This research gives a new definition and classification for telecommunication services from the data
mining point of view. Then this research proposed a formula for total rank a shop and each term of this
formula gives a sub rank. The proposed example shows that even a shop with lower numbers of population
and visitors, it still has higher rank.
This research suggested that telecom operators has to concentrate more on their e-shopping and epayment
as it is more cost effective and use data from shops for marketing issues. Some assumptions made
in this study need to be validated using surveys, also proposed ranking should be applied on live database.
Data Mining in Telecommunication Industryijsrd.com
Telecommunication companies today are operating in highly competitive and challenging environment. Vast volume of data is generated from various operational systems and these are used for solving many business problems that required urgent handling. These data include call detail data, customer data and network data. Data Mining methods and business intelligence technology are widely used for handling the business problems in this industry. The goal of this paper is to provide a broad review of data mining concepts.
Mining the Web Data for Classifying and Predicting Users’ RequestsIJECEIAES
Consumers are the most important asset of any organization. The commercial activity of an organization booms with the presence of a loyal customer who is visibly content with the product and services being offered. In a dynamic market, understanding variations in client‟s behavior can help executives establish operative promotional campaigns. A good number of new consumers are frequently picked up by traders during promotions. Though, several of these engrossed consumers are one-time deal seekers, the promotions undeniably leave a positive impact on sales. It is crucial for traders to identify who can be converted to loyal consumer and then have them patronize products and services to reduce the promotion cost and increase the return on investments. This study integrates a classifier that allows prediction of the type of purchase that a customer would make, as well as the number of visits that he/she would make during a year. The proposed model also creates outlines of users and brands or items used by them. These outlines may not be useful only for this particular prediction task, but could also be used for other important tasks in e-commerce, such as client segmentation, product recommendation and client base growth for brands.
INTEGRATION OF MACHINE LEARNING TECHNIQUES TO EVALUATE DYNAMIC CUSTOMER SEGME...IJDKP
The telecommunications industry is highly competitive, which means that the mobile providers need a
business intelligence model that can be used to achieve an optimal level of churners, as well as a minimal
level of cost in marketing activities. Machine learning applications can be used to provide guidance on
marketing strategies. Furthermore, data mining techniques can be used in the process of customer
segmentation. The purpose of this paper is to provide a detailed analysis of the C.5 algorithm, within naive
Bayesian modelling for the task of segmenting telecommunication customers behavioural profiling
according to their billing and socio-demographic aspects. Results have been experimentally implemented.
Similar to IRJET- Achieving Data Truthfulness and Privacy Preservation in Data Markets (20)
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.