文章基本信息

标题：Web Usage Mining Using Neiural Network Approach: A Critical Review
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作者：Vaishali A.Zilpe ; Dr. Mohammad Atique
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：1
页码：3073-3077
出版社：TechScience Publications
摘要：The emergence of WWW has drawn new frontiers for database research. The analysis of Web log files may give information that are useful for improving the services offered by Web portals and information access and retrieval tools, giving information on problems occurred to the users. This study reports on initial findings on a specific aspect that is highly relevant for personalization services: the study of Web user sessions. The key component of this paper is a Web-mining approach for Web-log analysis via introducing ART structure for huge, widely distributed, highly heterogeneous, semistructured, interconnected, evolving, hypertext information repository of World Wide Web. So, the Web sites automatically improve their organization and presentation by self-learning.
关键词：ART (Adaptive Resonance Theory);attention-subsystem; orienting-subsystem; Web log;Web mining; Web usage (web-log) mining.?