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43 results for “User Interest”
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Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Federative Access Control in a Cloud Environment with a Publish/Subscribe ProtocolAbdelali Saidi, Khalid Aissaoui, Abdessamad MektoubiCloudcomputing is a new concept that has interesting advantages; high computingperformances provided as needed, much lower cost than in-house infrastructures,and better reliability and scalability. However, with some drawbacks that areimpeding its adoption, security is so far the most alarming concern forcompanies or organizations. Access control policies, for example, are the mostchallenging issue that has been tackled these last years; to … …Journal of Computer Science, Vol. 18, Issue 10 · 5 Oct 2022 · 6,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Practical and Secure Hash Function-Based Password Authentication SchemeMuhammad Helmi Ali, Eddie Shahril Ismail, Firdaus Mohamad HamzahIn this study, we propose a practical and secure hash function-based password authentication scheme using smart cards. Our proposed scheme offers some advantages and interesting features. Firstly, the scheme does not require a verification table and is secure against the replay attacks, an attack that most of the existing schemes suffer. Secondly, any user of the scheme be allowed to … …Journal of Computer Science, Vol. 15, Issue 7 · 17 Jul 2019 · 7,743 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined Pattern Mining for D3M Using FuzzyS. S. Dhenakaran, S. MaheswariMany algorithms and models were developed but the findings are not actionable and lack of soft power while solving the complex problems. Domain Driven Data mining is used a major efforts to promote the action ability of the knowledge discovery in the real world smart decision making. Combined mining is one of the common methods for analyzing complex data for … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 1 Nov 2013 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Approach for Topic Ontology Based Categorization of Blogs Using Support Vector MachineV. Subramaniyaswamy, S. Chenthur PandianProblem statement: Information search, collection and categorization from the blogosphere are still one of the important issues to be resolved. Mainly, the blogs assist the variety of interesting and useful information. Because of its increasing growth, blogs can not be categorized effectively. Therefore it is difficult to find relevant topics from the blogs. Hence blogs need to be categorized topically … …Journal of Computer Science, Vol. 8, Issue 2 · 29 Nov 2011 · 7,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Descriptive Framework for the Multidimensional Medical Data Mining and RepresentationVeeramalai Sankaradass, Kannan ArputharajProblem statement: Association rule mining with fuzzy logic was explored by research for effective datamining and classification. Approach: It was used to find all the rules existing in the transactional database that satisfy some minimum support and minimum confidence constraints. Results: In this study, we propose new rule mining technique using fuzzy logic for mining medical data in order to … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining Rare Itemset with Automated Support ThresholdsKanimozhi Selvi Chenniangirivalsu Sadhasivam, Tamilarasi AngamuthuProblem statement: Frequent itemset mining is an important task in data mining to discover the hidden, interesting associations between items in the database based on the user-specified support and confidence thresholds. Approach: In order to find important associations, an appropriate support threshold has to be specified. The support threshold plays a key role in deciding the interesting itemsets. The rare … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,847 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Metadata Analysis and Base Analysis Techniques in Data Qualities Framework for Data WarehousesAzwa Abdul Aziz, Md Yazid Mohd Saman, Mohd Pouzi HamzahInformation provided by any applications systems in organization is vital in order to obtain a decision. Due to this factor, the quality of data provided by Data Warehouse (DW) is really important for organization to produce the best solution for their company to move forwards. DW is complex systems that have to deliver highly-aggregated, high quality data from heterogeneous sources … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,532 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Structural Study between Chatting and CheatingSaleh Al-ZhraniProblem statement: Internet Relay Chatting (IRC) is a multi-user, multi-channel chat system that runs on a network. It gives people the ability to participate in a synchronous exchange of thoughts with one or more people over a computer network. Approach: Currently, there is a lot of cheating during the chatting since the chatters do not know each other. However, it … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards an Effective Personalized Information Filter for P2P Based Focused Web CrawlingFu Xiang-hua, Feng Bo-qinInformation access is one of the hottest topics of information society, which has become even more important since the advent of the Web, but nowadays the general Web search engines still have no ability to find correct and timely information for individuals. In this paper, we propose a Peer-to-Peer (P2P) based decentralized focused Web crawling system called PeerBridge to provide … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 6,830 accessesView PDFCite