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Overview
There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Data Mining and Information Retrieval discusses the foundation as well as the practical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.
Synopsis
Eighteen contributions present recent research on new methodologies for searching distributed text databases, computational intelligence techniques and intelligent agents for web data mining, multi-agent collaborative knowledge production, and rule-based parsing for web data extraction. Other topics include social coordination with a new architecture for ubiquitous agents, taxonomy-based fuzzy filtering of search results, web sub-graph displays for web navigation, and an algorithm of pattern match for mining association rules. Annotation ©2004 Book News, Inc., Portland, OR