Web Mining: Applications and TechniquesAnthony Scime Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results. |
Contents
Metadata Management A Requirement for Web Warehousing and Knowledge Management | 3 |
Mining for Web Personalization | 29 |
Using Context Information to Build a TopicSpecific Crawling System | 52 |
Ontology Learning from a Domain Web Corpus | 71 |
MARS Multiplicative Adaptive Refinement Web Search | 101 |
Exploiting Captions for Web Data Mining | 121 |
Towards a Danger Theory Inspired Artificial Immune System for Web Mining | 147 |
XML Semantics | 171 |
Web Graph Clustering for Displays and Navigation of Cyberspace | 255 |
Integrating Semantic Knowledge with Web Usage Mining for Personalization | 278 |
Web Usage Mining in Search Engines | 309 |
Efficient Web Mining for Traversal Path Patterns | 324 |
Analysis of Document Viewing Patterns of Web Search Engine Users | 341 |
A Java Technology Based Distributed Software Architecture for Web Usage Mining | 357 |
Web Usage Mining Algorithms and Results | 375 |
The Scent of a Newsgroup Providing Personalized Access to Usenet Sites through Web Mining | 395 |
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Common terms and phrases
agent algorithm analysis applications approach artificial immune system association rules Attr attribute attribute grammars Bayesian captions chapter classifier clustering Computer Science concepts Copying or distributing Copyright 2005 crawler data cubes data mining database defined distributing in print domain ontology e-mail electronic forms element tag evaluation example extracted focused crawler forms without written frequent Idea Group Inc IEEE immune system information retrieval International Conference Internet knowledge language logfile logs machine learning maximal forward references metadata Mobasher navigation newsgroup nodes Pages Viewed personalization print or electronic problem Proceedings query relevant search engine semantic semantic Web sequence server session similarity specific suffix tree synsets Technology threshold topic transactions URLs usage mining Usenet user profiles user's values vector Web graph Web mining Web usage mining Website WordNet words World Wide written Figure XML documents