With quick advancement of investigative databases and web data databases are turning out to be exceptionally colossal in size and complex in nature. These databases hold extensive and heterogeneous information, with huge number of relations and qualities. So it is exceptionally hard to outline an arrangement of static inquiry structures to answer different specially appointed database inquirieson these cutting edge databases. Along these lines there is need of such framework which create Query Forms powerfully as indicated by the clients need at run time. The proposed framework Dynamic Query Form i.e.DQF framework going to give an answer by the inquiry interface in extensive and complex databases. In proposed framework, the center idea is to catch client intrigues all through client associations and to adjust the inquiry sort iteratively. Each cycle comprises of 2 sorts of client collaborations: Query Form Enrichment and Query Execution. In Query Form Enrichment DQF would prescribe a positioned rundown of question structure part to client so he/she can choose sought structure segments into current inquiry structure. In Query Execution client fills current inquiry shape and submit question, DQF going to show result and take input from client on gave question results. A client would have office to fill the inquiry frame and submit questions to see the inquiry result at every cycle. So that a question structure could be progressively refined till the client fulfills with the inquiry results.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
The document discusses integrating loosely coupled systems using a service-oriented architecture (SOA) approach. It proposes a generalized model to integrate various data sources related to a student admission process. The model uses SOA and web services to integrate student application, merit list generation, admission, and banking modules without changing their underlying business logic. This allows retrieving a student's application status, checking if they are on the merit list, assessing financial status, and recommending an education loan from compared banking options if needed. The integrated system provides a single interface to get information previously spread across different platforms and applications.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
Various organizations generate data in various domains which is queried and analyzed by users. This limits the possibility of database integration with other systems. We describes a generalized approach comprising a loosely couples system and integrate with other system. It deals with the setting up the environment for implementing the system. User Interface screen shows how the user will interact with the system and the data
entry forms required to gather data for the system.
Agent based P ersonalized e - Catalog S ervice S ystemEditor IJCATR
With the emergence of the e
-
Catalog, there has been an increasingly wide application of commodities query in distribut
ed
environment in the field of e
-
commerce. But e
-
Catalog is often autonomous and heterogeneous, effectively integrating and querying
them is a delicate and time
-
consuming task. Electronic catalog contains rich semantics associated with products, and serves
as a
challenging domain for ontology application. Ontology is concerned with the nature and relations of being. It can play a cruc
ial role
in e
-
commerce as a formalization of e
-
Catalog. User personalized catalog ontology aims at capturing the users' inter
ests in a working
domain, which forms the basis of providing personalized e
-
Catalog services.
This paper describes a prototype of an ontology
-
based
Information retrieval agent.
User personalized catalog ontology aims at capturing the users' interests in a
working domain, which
forms the basis of providing personalized e
-
Catalog services.
In this paper, we present an ontological model of e
-
Catalogs, and design
an Agent based personalized e
-
Catalog service system (ABPECSS), which achieves match user personal
ized catalog ontology and
domain e
-
Catalog ontology based on ontology integrated
IRJET- A Novel Technique for Inferring User Search using Feedback SessionsIRJET Journal
This document proposes a novel technique to infer user search goals using feedback sessions. It aims to address limitations in existing approaches like noisy search results, small numbers of clicked URLs, and lack of consideration of user feedback. The proposed approach generates feedback sessions from user click logs, pre-processes the data, extracts keywords from restructured results, re-ranks the results based on keywords and user history, and categorizes the re-ranked results using predefined categories. The technique is evaluated using Average Precision, which compares it to other clustering and classification algorithms. The goal is to improve information retrieval by better representing user search interests and needs.
APPLYING OPINION MINING TO ORGANIZE WEB OPINIONSIJCSEA Journal
Rapid increase of opinions on the web requires an effectual system to organize opinions. Opinion mining is a realistically plot and demanding field devoted to detect subjective content in text documents. If opinions are non-structured then it’s difficult for customers and organizations to understand. This study proposes an approach focusing on designing a system to organize web opinions at the time when user is posting, before actually being extracted by expertise. New system (Opinion Organization System) provides four stages. In first stage, it provides a list of several product categories and user selects at least one. In second stage, a list of selected product relevant features is displayed to the user. In third stage, user firstly selects features for which wants to express opinions, then uses polarity based P set and N set containing adjective words list and in fourth stage, uses thumb selection table to add opinions.
Text preprocessing and document classification plays a vital role in web services discovery. Nearest centroid classifiers were mostly employed in high-dimensional application including genomics. Feature selection is a major problem in all classifiers and in this paper we propose to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm. The task here in this problem statement is to effectively assign a document to one or more classes. Besides being simple and robust, the centroid classifier s not effectively used for document classification due to the computational complexity and larger memory requirements. We address these problems through dimensionality reduction and effective feature set selection before training and testing the classifier. Our preliminary experimentation and results shows that the proposed method outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
User search goal inference and feedback session using fast generalized – fuzz...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Classification-based Retrieval Methods to Enhance Information Discovery on th...IJMIT JOURNAL
The widespread adoption of the World-Wide Web (the Web) has created challenges both for society as a whole and for the technology used to build and maintain the Web. The ongoing struggle of information retrieval systems is to wade through this vast pile of data and satisfy users by presenting them with information that most adequately it’s their needs. On a societal level, the Web is expanding faster than we can comprehend its implications or develop rules for its use. The ubiquitous use of the Web has raised important social concerns in the areas of privacy, censorship, and access to information. On a technical level, the novelty of the Web and the pace of its growth have created challenges not only in the development of new applications that realize the power of the Web, but also in the technology needed to scale applications to accommodate the resulting large data sets and heavy loads. This thesis presents searching algorithms and hierarchical classification techniques for increasing a search service's understanding of web queries. Existing search services rely solely on a query's occurrence in the document collection to locate relevant documents. They typically do not perform any task or topic-based analysis of queries using other available resources, and do not leverage changes in user query patterns over time. Provided within are a set of techniques and metrics for performing temporal analysis on query logs. Our log analyses are shown to be reasonable and informative, and can be used to detect changing trends and patterns in the query stream, thus providing valuable data to a search service.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
The document discusses integrating loosely coupled systems using a service-oriented architecture (SOA) approach. It proposes a generalized model to integrate various data sources related to a student admission process. The model uses SOA and web services to integrate student application, merit list generation, admission, and banking modules without changing their underlying business logic. This allows retrieving a student's application status, checking if they are on the merit list, assessing financial status, and recommending an education loan from compared banking options if needed. The integrated system provides a single interface to get information previously spread across different platforms and applications.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
Various organizations generate data in various domains which is queried and analyzed by users. This limits the possibility of database integration with other systems. We describes a generalized approach comprising a loosely couples system and integrate with other system. It deals with the setting up the environment for implementing the system. User Interface screen shows how the user will interact with the system and the data
entry forms required to gather data for the system.
Agent based P ersonalized e - Catalog S ervice S ystemEditor IJCATR
With the emergence of the e
-
Catalog, there has been an increasingly wide application of commodities query in distribut
ed
environment in the field of e
-
commerce. But e
-
Catalog is often autonomous and heterogeneous, effectively integrating and querying
them is a delicate and time
-
consuming task. Electronic catalog contains rich semantics associated with products, and serves
as a
challenging domain for ontology application. Ontology is concerned with the nature and relations of being. It can play a cruc
ial role
in e
-
commerce as a formalization of e
-
Catalog. User personalized catalog ontology aims at capturing the users' inter
ests in a working
domain, which forms the basis of providing personalized e
-
Catalog services.
This paper describes a prototype of an ontology
-
based
Information retrieval agent.
User personalized catalog ontology aims at capturing the users' interests in a
working domain, which
forms the basis of providing personalized e
-
Catalog services.
In this paper, we present an ontological model of e
-
Catalogs, and design
an Agent based personalized e
-
Catalog service system (ABPECSS), which achieves match user personal
ized catalog ontology and
domain e
-
Catalog ontology based on ontology integrated
IRJET- A Novel Technique for Inferring User Search using Feedback SessionsIRJET Journal
This document proposes a novel technique to infer user search goals using feedback sessions. It aims to address limitations in existing approaches like noisy search results, small numbers of clicked URLs, and lack of consideration of user feedback. The proposed approach generates feedback sessions from user click logs, pre-processes the data, extracts keywords from restructured results, re-ranks the results based on keywords and user history, and categorizes the re-ranked results using predefined categories. The technique is evaluated using Average Precision, which compares it to other clustering and classification algorithms. The goal is to improve information retrieval by better representing user search interests and needs.
APPLYING OPINION MINING TO ORGANIZE WEB OPINIONSIJCSEA Journal
Rapid increase of opinions on the web requires an effectual system to organize opinions. Opinion mining is a realistically plot and demanding field devoted to detect subjective content in text documents. If opinions are non-structured then it’s difficult for customers and organizations to understand. This study proposes an approach focusing on designing a system to organize web opinions at the time when user is posting, before actually being extracted by expertise. New system (Opinion Organization System) provides four stages. In first stage, it provides a list of several product categories and user selects at least one. In second stage, a list of selected product relevant features is displayed to the user. In third stage, user firstly selects features for which wants to express opinions, then uses polarity based P set and N set containing adjective words list and in fourth stage, uses thumb selection table to add opinions.
Text preprocessing and document classification plays a vital role in web services discovery. Nearest centroid classifiers were mostly employed in high-dimensional application including genomics. Feature selection is a major problem in all classifiers and in this paper we propose to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm. The task here in this problem statement is to effectively assign a document to one or more classes. Besides being simple and robust, the centroid classifier s not effectively used for document classification due to the computational complexity and larger memory requirements. We address these problems through dimensionality reduction and effective feature set selection before training and testing the classifier. Our preliminary experimentation and results shows that the proposed method outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
User search goal inference and feedback session using fast generalized – fuzz...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Classification-based Retrieval Methods to Enhance Information Discovery on th...IJMIT JOURNAL
The widespread adoption of the World-Wide Web (the Web) has created challenges both for society as a whole and for the technology used to build and maintain the Web. The ongoing struggle of information retrieval systems is to wade through this vast pile of data and satisfy users by presenting them with information that most adequately it’s their needs. On a societal level, the Web is expanding faster than we can comprehend its implications or develop rules for its use. The ubiquitous use of the Web has raised important social concerns in the areas of privacy, censorship, and access to information. On a technical level, the novelty of the Web and the pace of its growth have created challenges not only in the development of new applications that realize the power of the Web, but also in the technology needed to scale applications to accommodate the resulting large data sets and heavy loads. This thesis presents searching algorithms and hierarchical classification techniques for increasing a search service's understanding of web queries. Existing search services rely solely on a query's occurrence in the document collection to locate relevant documents. They typically do not perform any task or topic-based analysis of queries using other available resources, and do not leverage changes in user query patterns over time. Provided within are a set of techniques and metrics for performing temporal analysis on query logs. Our log analyses are shown to be reasonable and informative, and can be used to detect changing trends and patterns in the query stream, thus providing valuable data to a search service.
Development of Personal Assistant System with Human Computer InteractionWaqas Tariq
In recent years, some personal assistant systems have appeared in our daily life. They provided some services such as account management, curriculum management, diary management, financing management and so on. This study presents a design and implementation of a personal assistant system platform especially for students and employee to help to manage their learning, life and work better. One of the highlights of this system has an instant chatting system except for the above functions. This paper indicates not only some beneficial interactive functions but also presented detailed ideas of information system analysis, design, and test. It has a friendly interactive interface and a good manageable system, and experimental studies of these functions are proved to be reliable, efficient, and acceptable for users when applied to learning and working environments.
System For Product Recommendation In E-Commerce ApplicationsIJERD Editor
This document summarizes a research paper that proposes a personalized hybrid recommendation system for e-commerce applications that can support massive datasets. The system uses clustering algorithms to build a user preference tree to model user interests. It then uses map-reduce on Hadoop to accelerate the recommendation algorithm using user and product similarity matrices in order to provide recommendations to users in an online mode quickly despite large, unstructured data. The performance of the map-reduce based system is analyzed and shown to have advantages over traditional centralized methods for large datasets.
A Review: Text Classification on Social Media DataIOSR Journals
This document provides a review of different classifiers used for text classification on social media data. It discusses how social media data is often unstructured and contains users' opinions and sentiments. Various machine learning algorithms can be used to classify this social media text data, extracting meaningful information. The document focuses on describing Naive Bayes classifiers, which are commonly used for text classification tasks. It explains how Naive Bayes classifiers work by calculating the posterior probability that a document belongs to a certain class, based on applying Bayes' theorem with an independence assumption between features.
IRJET- Analysis on Existing Methodologies of User Service Rating Prediction S...IRJET Journal
This document summarizes and analyzes existing methodologies for user service rating prediction systems. It discusses recommendation systems including collaborative filtering, content-based filtering, and hybrid approaches. Collaborative filtering predicts user ratings based on opinions of other similar users but faces challenges of cold start, scalability, and sparsity. Content-based filtering relies on item profiles and user preferences to recommend similar items but requires detailed item information. Hybrid systems combine collaborative and content-based filtering to address their individual limitations. The document also examines social recommender systems and how they can account for relationship strength, expertise, and user similarity within social networks.
A NOVEL APPROACH FOR PERFORMANCE ENHANCEMENT OF E-COMMERCE SOLUTIONS BY FRIEN...ijfcstjournal
In the past, selling needs brick and mortar store and it is limited to a local customer base. But today,
ecommerce websites make it easy for the customers around the world to shop by virtual store. Performance
of ecommerce websites depend not only the quality and price of the product but also the customer centric
suggestions about the product and services and retrieval speed of websites. There is more possibility to buy
a product brand suggested by friends or relatives than by viewing commends from unknown people. We
can implement such a customer centric approach using Neo4j database, which provides easy and fast
retrieval of information based on multiple customer attributes and relations than relational databases. This
system is also compared with other NoSQL database such as MongoDB. MongoDB is well suited for
application like E-Commerce because it support semi structured data and high availability. Integrating Ecommerce
solution with social network MongoDB is slower and not provides an optimal solution. The
MongoDB imposes certain limitations for fast and efficient retrieval. This paper presents the advantages of
using Neo4j over MongoDB for E-Commerce applications. Experiment shows the enhancement of
performance in terms of time and complexity.
A New Algorithm for Inferring User Search Goals with Feedback SessionsIJERA Editor
When different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. The Novel approach to infer user search goals by analyzing search engine query logs. Once the User entered the query, the Resultant URLs will be filtered and the Pseudo-Documents are generated. Once the Pseudo documents are generated the Server will apply the Clustering Mechanism to URL’s. So that the URLs are listed as different categories. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of user. Second, we propose a novel approach to generate pseudo documents to better represents the feedback sessions for clustering. Finally we proposed new criterion “Classified Average Precision (CAP)” to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods. Third, the distributions of user search goals can also be useful in applications such as re ranking web search results that contain different user search goals.
This chapter discusses database management and discusses key concepts such as:
1. The functions of database management systems (DBMS) and how they allow users to access, retrieve, and use organized data.
2. The differences between file processing systems and database approaches, with databases allowing shared data across programs and users.
3. Popular database models including relational, object-oriented, and multidimensional databases and how they organize data differently.
4. The roles of database analysts and administrators in designing databases, maintaining data quality, and managing database security and performance.
This chapter discusses database management and discusses key topics such as:
1. The functions of database management systems and why data is important for organizations.
2. The differences between file processing systems and database approaches, and benefits of databases like reduced redundancy and improved access.
3. Popular database models like relational, object-oriented, and multidimensional databases.
4. Database administration tasks like design, security, backup and recovery procedures.
5. The roles of database analysts and administrators in managing, maintaining and protecting organizational data.
This document summarizes a research paper that proposes a hybrid recommendation approach for tourism systems using classification based on association rules and fuzzy logic. The paper describes common problems with recommender systems like sparsity and performance issues. It then presents a hybrid method combining clustering, associative classification, and fuzzy logic to address these problems. The method was implemented and evaluated in a tourism recommender system, with results showing it can improve recommendation quality by reducing limitations of other approaches.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
This document summarizes a study that aimed to identify value co-creation attributes that influence the UTM Institutional Repository (UTM IR), an e-service application. The study used interviews with UTM IR providers and users to collect data on the e-service based on the DART model of value co-creation. The DART model examines dialogue, access, risk, and transparency between customers and providers. Interview responses were coded according to the DART building blocks. A gap analysis of the coded provider and user responses identified attributes influencing the UTM IR from a value co-creation perspective. The findings aimed to help evaluate the UTM IR e-service based on customer and provider value co-creation.
Comparison of document management systems by meta modeling and workforce cent...ijcseit
Document management software are used widely for office paper management and related workflows.
However, they have some differences from a flexibility perspective for the needs of workers. Moreover, they
also differentiate in their underlying conceptual design. In this paper, a set (eight) of widely used document
management systems are chosen from internet reviews [5] [6] and their conceptual models are analysed
with meta modeling and flexibility tuning measures. The main objective is to compare these systems by
analyzing their human-orientation and flexibility. This analysis provides useful information for
organizations especially looking for document management systems which are more workforce centric.
ENHANCING THE PERFORMANCE OF E-COMMERCE SOLUTIONS BY FRIENDS RECOMMENDATION S...IJCI JOURNAL
In the past, selling needs brick and mortar store and it is limited to a local customer base. But today, ecommerce
websites make it easy for the customers around the world to shop by virtual store. Performance of ecommerce
websites depend not only the quality and price of the product but also the customer centric suggestions about the
product and services and retrieval speed of websites. There is more possibility to buy a product brand suggested by
friends or relatives than by viewing commends from unknown people. We can implement such a customer centric
approach using Neo4j database, which provides easy and fast retrieval of information based on multiple customer
attributes and relations than relational databases. Experiment shows the enhancement of performance in terms of
time and complexity
-Developed Enterprise software architecture model for startup company as consultants
-Identified and developed all part of enterprise software middleware such as business motivation model, business capability model, Information architecture model, application architecture and much more.
- Developed the project planning, roadmap and governance for the enterprise.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Journal of Physics Conference SeriesPAPER • OPEN ACCESS.docxLaticiaGrissomzz
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
The methodology of database design in
organization management systems
To cite this article: I L Chudinov et al 2017 J. Phys.: Conf. Ser. 803 012030
View the article online for updates and enhancements.
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The methodology of database design in organization
management systems
I L Chudinov, V V Osipova, Y V Bobrova
Tomsk Polytechnic University, 30, Lenina ave., Tomsk, 634050, Russia
E-mail: [email protected]
Abstract. The paper describes the unified methodology of database design for management
information systems. Designing the conceptual information model for the domain area is the
most important and labor-intensive stage in database design. Basing on the proposed integrated
approach to design, the conceptual information model, the main principles of developing the
relation databases are provided and user’s information needs are considered. According to the
methodology, the process of designing the conceptual information model includes three basic
stages, which are defined in detail. Finally, the article describes the process of performing the
results of analyzing user’s information needs and the rationale for use of classifiers.
1. Introduction
Management information systems are among the most important components of information
technologies (IT), used in a company. They are usually classified by the functions into the following
systems: Manufacturing Execution Systems (MES), Human Resource Management (HRM), Enterprise
Content Management (ECM), Customer Relationship Management (CRM), etc. [1]. Such systems are
used a special structured database and are required for reengineering of the whole enterprise
management system, while the integration makes it difficult to use them. These systems are expensive
enough and particularly devel.
This document describes a proposed web application called "Colleges.Net" that would allow users to search for information on colleges. It would manage data on registered colleges, including details about programs offered, admissions, facilities, and more. Users could search for colleges based on criteria like location, courses, and rankings. Colleges could also register profiles to provide information and advertise to students. The proposed system aims to make finding college information more efficient by allowing online searching and filtering, rather than requiring users to visit individual college websites.
Development of Web-based Job Fair Information SystemEditor IJCATR
The development of information technology should be ordered to improve the services including job fair information system
services. This work aimed to develop of web-based job fair information system. The methods used in this work consists of collecting
data method, and software development method. Collecting data method using observations, interview, and literature study. Software
development method using waterfall model comprising the steps of requirements, specfification and design, implementation, testing,
deployment, and maintenance. The results of this work is software web-based information system provided a job information,
registration, and test schedule information.
This document describes the development of a web-based job fair information system using the waterfall model of software development. The system allows users to access information on job vacancies, registration for vacancies, and test schedules. It was developed using requirements collection, specification and design, implementation, and testing phases of the waterfall model. The system provides information to both job seekers and administrators. For job seekers, it allows viewing of information and online registration for vacancies. Administrators can manage all data and information on the system. The system was tested on different browsers and needs further improvement for use on mobile devices.
Development of Web-based Job Fair Information SystemEditor IJCATR
The development of information technology should be ordered to improve the services including job fair information system
services. This work aimed to develop of web-based job fair information system. The methods used in this work consists of collecting
data method, and software development method. Collecting data method using observations, interview, and literature study. Software
development method using waterfall model comprising the steps of requirements, specfification and design, implementation, testing,
deployment, and maintenance. The results of this work is software web-based information system provided a job information,
registration, and test schedule information.
Development of Personal Assistant System with Human Computer InteractionWaqas Tariq
In recent years, some personal assistant systems have appeared in our daily life. They provided some services such as account management, curriculum management, diary management, financing management and so on. This study presents a design and implementation of a personal assistant system platform especially for students and employee to help to manage their learning, life and work better. One of the highlights of this system has an instant chatting system except for the above functions. This paper indicates not only some beneficial interactive functions but also presented detailed ideas of information system analysis, design, and test. It has a friendly interactive interface and a good manageable system, and experimental studies of these functions are proved to be reliable, efficient, and acceptable for users when applied to learning and working environments.
System For Product Recommendation In E-Commerce ApplicationsIJERD Editor
This document summarizes a research paper that proposes a personalized hybrid recommendation system for e-commerce applications that can support massive datasets. The system uses clustering algorithms to build a user preference tree to model user interests. It then uses map-reduce on Hadoop to accelerate the recommendation algorithm using user and product similarity matrices in order to provide recommendations to users in an online mode quickly despite large, unstructured data. The performance of the map-reduce based system is analyzed and shown to have advantages over traditional centralized methods for large datasets.
A Review: Text Classification on Social Media DataIOSR Journals
This document provides a review of different classifiers used for text classification on social media data. It discusses how social media data is often unstructured and contains users' opinions and sentiments. Various machine learning algorithms can be used to classify this social media text data, extracting meaningful information. The document focuses on describing Naive Bayes classifiers, which are commonly used for text classification tasks. It explains how Naive Bayes classifiers work by calculating the posterior probability that a document belongs to a certain class, based on applying Bayes' theorem with an independence assumption between features.
IRJET- Analysis on Existing Methodologies of User Service Rating Prediction S...IRJET Journal
This document summarizes and analyzes existing methodologies for user service rating prediction systems. It discusses recommendation systems including collaborative filtering, content-based filtering, and hybrid approaches. Collaborative filtering predicts user ratings based on opinions of other similar users but faces challenges of cold start, scalability, and sparsity. Content-based filtering relies on item profiles and user preferences to recommend similar items but requires detailed item information. Hybrid systems combine collaborative and content-based filtering to address their individual limitations. The document also examines social recommender systems and how they can account for relationship strength, expertise, and user similarity within social networks.
A NOVEL APPROACH FOR PERFORMANCE ENHANCEMENT OF E-COMMERCE SOLUTIONS BY FRIEN...ijfcstjournal
In the past, selling needs brick and mortar store and it is limited to a local customer base. But today,
ecommerce websites make it easy for the customers around the world to shop by virtual store. Performance
of ecommerce websites depend not only the quality and price of the product but also the customer centric
suggestions about the product and services and retrieval speed of websites. There is more possibility to buy
a product brand suggested by friends or relatives than by viewing commends from unknown people. We
can implement such a customer centric approach using Neo4j database, which provides easy and fast
retrieval of information based on multiple customer attributes and relations than relational databases. This
system is also compared with other NoSQL database such as MongoDB. MongoDB is well suited for
application like E-Commerce because it support semi structured data and high availability. Integrating Ecommerce
solution with social network MongoDB is slower and not provides an optimal solution. The
MongoDB imposes certain limitations for fast and efficient retrieval. This paper presents the advantages of
using Neo4j over MongoDB for E-Commerce applications. Experiment shows the enhancement of
performance in terms of time and complexity.
A New Algorithm for Inferring User Search Goals with Feedback SessionsIJERA Editor
When different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. The Novel approach to infer user search goals by analyzing search engine query logs. Once the User entered the query, the Resultant URLs will be filtered and the Pseudo-Documents are generated. Once the Pseudo documents are generated the Server will apply the Clustering Mechanism to URL’s. So that the URLs are listed as different categories. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of user. Second, we propose a novel approach to generate pseudo documents to better represents the feedback sessions for clustering. Finally we proposed new criterion “Classified Average Precision (CAP)” to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods. Third, the distributions of user search goals can also be useful in applications such as re ranking web search results that contain different user search goals.
This chapter discusses database management and discusses key concepts such as:
1. The functions of database management systems (DBMS) and how they allow users to access, retrieve, and use organized data.
2. The differences between file processing systems and database approaches, with databases allowing shared data across programs and users.
3. Popular database models including relational, object-oriented, and multidimensional databases and how they organize data differently.
4. The roles of database analysts and administrators in designing databases, maintaining data quality, and managing database security and performance.
This chapter discusses database management and discusses key topics such as:
1. The functions of database management systems and why data is important for organizations.
2. The differences between file processing systems and database approaches, and benefits of databases like reduced redundancy and improved access.
3. Popular database models like relational, object-oriented, and multidimensional databases.
4. Database administration tasks like design, security, backup and recovery procedures.
5. The roles of database analysts and administrators in managing, maintaining and protecting organizational data.
This document summarizes a research paper that proposes a hybrid recommendation approach for tourism systems using classification based on association rules and fuzzy logic. The paper describes common problems with recommender systems like sparsity and performance issues. It then presents a hybrid method combining clustering, associative classification, and fuzzy logic to address these problems. The method was implemented and evaluated in a tourism recommender system, with results showing it can improve recommendation quality by reducing limitations of other approaches.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
This document summarizes a study that aimed to identify value co-creation attributes that influence the UTM Institutional Repository (UTM IR), an e-service application. The study used interviews with UTM IR providers and users to collect data on the e-service based on the DART model of value co-creation. The DART model examines dialogue, access, risk, and transparency between customers and providers. Interview responses were coded according to the DART building blocks. A gap analysis of the coded provider and user responses identified attributes influencing the UTM IR from a value co-creation perspective. The findings aimed to help evaluate the UTM IR e-service based on customer and provider value co-creation.
Comparison of document management systems by meta modeling and workforce cent...ijcseit
Document management software are used widely for office paper management and related workflows.
However, they have some differences from a flexibility perspective for the needs of workers. Moreover, they
also differentiate in their underlying conceptual design. In this paper, a set (eight) of widely used document
management systems are chosen from internet reviews [5] [6] and their conceptual models are analysed
with meta modeling and flexibility tuning measures. The main objective is to compare these systems by
analyzing their human-orientation and flexibility. This analysis provides useful information for
organizations especially looking for document management systems which are more workforce centric.
ENHANCING THE PERFORMANCE OF E-COMMERCE SOLUTIONS BY FRIENDS RECOMMENDATION S...IJCI JOURNAL
In the past, selling needs brick and mortar store and it is limited to a local customer base. But today, ecommerce
websites make it easy for the customers around the world to shop by virtual store. Performance of ecommerce
websites depend not only the quality and price of the product but also the customer centric suggestions about the
product and services and retrieval speed of websites. There is more possibility to buy a product brand suggested by
friends or relatives than by viewing commends from unknown people. We can implement such a customer centric
approach using Neo4j database, which provides easy and fast retrieval of information based on multiple customer
attributes and relations than relational databases. Experiment shows the enhancement of performance in terms of
time and complexity
-Developed Enterprise software architecture model for startup company as consultants
-Identified and developed all part of enterprise software middleware such as business motivation model, business capability model, Information architecture model, application architecture and much more.
- Developed the project planning, roadmap and governance for the enterprise.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Journal of Physics Conference SeriesPAPER • OPEN ACCESS.docxLaticiaGrissomzz
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
The methodology of database design in
organization management systems
To cite this article: I L Chudinov et al 2017 J. Phys.: Conf. Ser. 803 012030
View the article online for updates and enhancements.
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The methodology of database design in organization
management systems
I L Chudinov, V V Osipova, Y V Bobrova
Tomsk Polytechnic University, 30, Lenina ave., Tomsk, 634050, Russia
E-mail: [email protected]
Abstract. The paper describes the unified methodology of database design for management
information systems. Designing the conceptual information model for the domain area is the
most important and labor-intensive stage in database design. Basing on the proposed integrated
approach to design, the conceptual information model, the main principles of developing the
relation databases are provided and user’s information needs are considered. According to the
methodology, the process of designing the conceptual information model includes three basic
stages, which are defined in detail. Finally, the article describes the process of performing the
results of analyzing user’s information needs and the rationale for use of classifiers.
1. Introduction
Management information systems are among the most important components of information
technologies (IT), used in a company. They are usually classified by the functions into the following
systems: Manufacturing Execution Systems (MES), Human Resource Management (HRM), Enterprise
Content Management (ECM), Customer Relationship Management (CRM), etc. [1]. Such systems are
used a special structured database and are required for reengineering of the whole enterprise
management system, while the integration makes it difficult to use them. These systems are expensive
enough and particularly devel.
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What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
1. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-6, June- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 552
Dynamic Query Forms for Non-Relational
Database
Deepak Pagaro, Viral Prajapati, Sahil Gambhir , Harish Singh, Mr. Rahul Pawar, Mrs.
D.A. Phalke
Department of Computer Engineering, D Y Patil College of Engineering, Akurdi, Pune, India
Abstract— With quick advancement of investigative
databases and web data databases are turning out to be
exceptionally colossal in size and complex in nature. These
databases hold extensive and heterogeneous information,
with huge number of relations and qualities. So it is
exceptionally hard to outline an arrangement of static
inquiry structures to answer different specially appointed
database inquirieson these cutting edge databases. Along
these lines there is need of such framework which create
Query Forms powerfully as indicated by the clients need at
run time. The proposed framework Dynamic Query Form
i.e.DQF framework going to give an answer by the inquiry
interface in extensive and complex databases. In proposed
framework, the center idea is to catch client intrigues all
through client associations and to adjust the inquiry sort
iteratively. Each cycle comprises of 2 sorts of client
collaborations: Query Form Enrichment and Query
Execution. In Query Form Enrichment DQF would prescribe
a positioned rundown of question structure part to client so
he/she can choose sought structure segments into current
inquiry structure. In Query Execution client fills current
inquiry shape and submit question, DQF going to show result
and take input from client on gave question results. A client
would have office to fill the inquiry frame and submit
questions to see the inquiry result at every cycle. So that a
question structure could be progressively refined till the
client fulfills with the inquiry results.
Keywords— Database, Query Form, Query Execution, User
Interaction.
I. INTRODUCTION
A database is just as practical as question interface permits
it to be. On the off chance that a client is not fit to the
database what he or she wants from it, even the wealthiest
information store gives petite or no quality. Composing very
much organized questions, in dialects, for example, SQL and
XQuery, can be trying because of various reasons, including
the clients absence of commonality with the inquiry dialect
and the clients lack of awareness of the fundamental
composition. A structure based inquiry interface, which just
requires filling spaces to recognize question parameters, is
valuable since it makes information clients with no learning
of authority inquiry dialects or the database composition. By
and by, structure based interfaces are utilized much of the
time, yet generally every structure is composed in an ad-hoc
way and its relevance is confined to a little arrangement of
settled questions. Question structure is one of the greater part
utilized client interfaces for questioning databases. With the
quick advancement of web data and exploratory databases,
cutting edge databases turn out to be vast and complex.
Dynamic inquiry sort framework: DQF, an inquiry interface
that is prepared to do powerfully creating question shapes for
clients. Not quite the same as old report recovery, clients in
data recovery zone unit normally willing to perform a few
rounds of activities (i.e., refinement question conditions)
before particular the last hopefuls. The pith of DQF is to
catch client intrigues all through client associations and to
adjust the inquiry sort iteratively. Each cycle comprises of 2
sorts of client cooperations: it contains just a couple of
essential properties of the data. The vital inquiry sort is then
improved iteratively by means of the collaborations between
the client and system’s framework till the client is fulfill with
the inquiry results. Objective of this paper is to demonstrate
that the benefits of utilizing element question frames for
database over the current static inquiry shapes. It gives a
solution for previously stated methodologies [3], [8] is
proposed in. It consequently creates a great deal of question
structures ahead of time. The client inputs a few catchphrases
to discover significant inquiry shapes from countless
produced question frames yet it is not fitting when the client
does not have solid watchwords to depict the inquiries.
Conventional inquiry structures are outlined and
percharacterized by engineers or DBA in different data
administration frameworks. With the fast improvement of
web data and logical databases, present day databases turn
out to be substantial and complex. In this manner, it is hard to
outline an arrangement of static question structures to fulfill
2. International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogain Publication (Infogainpublication.com
www.ijaems.com
different specially appointed database inquiries on those
mind boggling databases.
II. SYSTEM MODEL
In this system, first user will fill the query form and this
query will be executed by the system and the result is
displayed on the screen. Next, the user provide feedback
whether the user is satisfied with the query form and if he is
not satisfied then there is a option of generating the dynamic
query form and ranking is done. At last the user can search
the form according to the rank given to the dynamic query
form.
Fig.2.1: System Architecture
III. PREVIOUS WORK
In this section author should discuss about related research
has been done in the same domain or related domains with
the name of the researcher and should be mentioned in the
references.
IV. PROPOSED METHODOLOGY
Registration activity: User have to registered before using
the system of dynamic query form. In registration user have
to enter their first and last name, mobile number, email
address and password. And then confirm it for registration.
International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogainpublication.com)
different specially appointed database inquiries on those
In this system, first user will fill the query form and this
query will be executed by the system and the result is
displayed on the screen. Next, the user provide feedback
whether the user is satisfied with the query form and if he is
tisfied then there is a option of generating the dynamic
query form and ranking is done. At last the user can search
the form according to the rank given to the dynamic query
System Architecture
should discuss about related research
has been done in the same domain or related domains with
the name of the researcher and should be mentioned in the
PROPOSED METHODOLOGY
Registration activity: User have to registered before using
system of dynamic query form. In registration user have
to enter their first and last name, mobile number, email
address and password. And then confirm it for registration.
User LogIn: User need to login before generating new form.
After login user ca generate his/her own form or can use the
already existing form of other user and modify it for the
future use.
User Form Generation: User can generate the dynamic for
using the the component and respective name of that
component. User can design the
satisfaction. User can also use the existing form of other user
and can also modify them for their future use.
Dynamic Data Entry Form: Develops an adaptive form
system for data entry, which can be changed dynamically
according to the previous data input by user[11]. Our work is
different because the system is dealing with database query
forms instead of data entry forms. Active Feature Probing[8]
developed the active featuring probing technique for
generating clarification questi
recommendations to users in database search. Different from
their work which concentrates on searching the appropriate
questions to ask the user, DQF aims to select query
components.
[Vol-2, Issue-6, June- 2016]
ISSN : 2454-1311
Page | 553
User LogIn: User need to login before generating new form.
enerate his/her own form or can use the
already existing form of other user and modify it for the
User Form Generation: User can generate the dynamic for
using the the component and respective name of that
component. User can design the form according to their
satisfaction. User can also use the existing form of other user
them for their future use.
Dynamic Data Entry Form: Develops an adaptive form
system for data entry, which can be changed dynamically
o the previous data input by user[11]. Our work is
different because the system is dealing with database query
forms instead of data entry forms. Active Feature Probing[8]
developed the active featuring probing technique for
generating clarification questions to supply appropriate
recommendations to users in database search. Different from
their work which concentrates on searching the appropriate
questions to ask the user, DQF aims to select query
3. International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogain Publication (Infogainpublication.com
www.ijaems.com
different specially appointed database inquiries on those
mind boggling databases.
II. SYSTEM MODEL
In this system, first user will fill the query form and this
query will be executed by the system and the result is
displayed on the screen. Next, the user provide feedback
whether the user is satisfied with the query form and if he is
not satisfied then there is a option of generating the dynamic
query form and ranking is done. At last the user can search
the form according to the rank given to the dynamic query
form.
Fig.2.1: System Architecture
III. PREVIOUS WORK
In this section author should discuss about related research
has been done in the same domain or related domains with
the name of the researcher and should be mentioned in the
references.
IV. PROPOSED METHODOLOGY
Registration activity: User have to registered before using
the system of dynamic query form. In registration user have
to enter their first and last name, mobile number, email
address and password. And then confirm it for registration.
International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogainpublication.com)
different specially appointed database inquiries on those
In this system, first user will fill the query form and this
query will be executed by the system and the result is
displayed on the screen. Next, the user provide feedback
whether the user is satisfied with the query form and if he is
tisfied then there is a option of generating the dynamic
query form and ranking is done. At last the user can search
the form according to the rank given to the dynamic query
System Architecture
should discuss about related research
has been done in the same domain or related domains with
the name of the researcher and should be mentioned in the
PROPOSED METHODOLOGY
Registration activity: User have to registered before using
system of dynamic query form. In registration user have
to enter their first and last name, mobile number, email
address and password. And then confirm it for registration.
User LogIn: User need to login before generating new form.
After login user ca generate his/her own form or can use the
already existing form of other user and modify it for the
future use.
User Form Generation: User can generate the dynamic for
using the the component and respective name of that
component. User can design the
satisfaction. User can also use the existing form of other user
and can also modify them for their future use.
Dynamic Data Entry Form: Develops an adaptive form
system for data entry, which can be changed dynamically
according to the previous data input by user[11]. Our work is
different because the system is dealing with database query
forms instead of data entry forms. Active Feature Probing[8]
developed the active featuring probing technique for
generating clarification questi
recommendations to users in database search. Different from
their work which concentrates on searching the appropriate
questions to ask the user, DQF aims to select query
components.
[Vol-2, Issue-6, June- 2016]
ISSN : 2454-1311
Page | 553
User LogIn: User need to login before generating new form.
enerate his/her own form or can use the
already existing form of other user and modify it for the
User Form Generation: User can generate the dynamic for
using the the component and respective name of that
component. User can design the form according to their
satisfaction. User can also use the existing form of other user
them for their future use.
Dynamic Data Entry Form: Develops an adaptive form
system for data entry, which can be changed dynamically
o the previous data input by user[11]. Our work is
different because the system is dealing with database query
forms instead of data entry forms. Active Feature Probing[8]
developed the active featuring probing technique for
generating clarification questions to supply appropriate
recommendations to users in database search. Different from
their work which concentrates on searching the appropriate
questions to ask the user, DQF aims to select query
4. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-6, June- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 555
of database query results ”, ACM Trans. Database Syst.
(TODS), 2006.
[9] B. Liu and H. V. Jagadish “ , Using trees to depict a
forest, ”PVLDB, 2009.
[10]C. C. Aggarwal, J. Han, J. Wang, and P. S. Yu, “A
framework for clustering evolving data streams ”, In
Proceedings of VLDB, 2003.
[11]T. Zhang, R. Ramakrishnan, and M. Livny, “ Birch: An
efficient data clustering method for very large
databases,”in Proceedings of SIGMOD, 1996.
[12]G. Salton and M. McGrill“, Introduction to Information
Retrieval, ”,McGraw-Hill, 1984.
[13]M. M. Zloof, “Query-by-example: The invocation and
definition of tables and forms, ”in Proc. VLDB,
Framingham, MA, USA, Sept 1975, pp. 114