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http://dx.doi.org/10.3745/KIPSTB.2004.11B.4.465

Dynamic Web Information Predictive System Using Ensemble Support Vector Machine  

Park, Chang-Hee (연세대학교 대학원 전자공학)
Yoon, Kyung-Bae (김포대학 컴퓨터계열)
Publication Information
The KIPS Transactions:PartB / v.11B, no.4, 2004 , pp. 465-470 More about this Journal
Abstract
Web Information Predictive Systems have the restriction such as they need users profiles and visible feedback information for obtaining the necessary information. For overcoming this restrict, this study designed and implemented Dynamic Web Information Predictive System using Ensemble Support Vector Machine to be able to predict the web information and provide the relevant information every user needs most by click stream data and user feedback information, which have some clues based on the data. The result of performance test using Dynamic Web Information Predictive System using Ensemble Support Vector Machine against the existing Web Information Predictive System has preyed that this study s method is an excellence solution.
Keywords
Ensemble; Predictive; SVM(Support Vector Machne); Mining; Voting; Classification;
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