Publications

This book would be an excellent addition to your institution's library. Please recommend the book by forwarding this announcement to your acquisitions librarian.

Intelligent Agents for Data Mining and Information Retrieval
Masoud Mohammadian, University of Canberra, Australia
ISBN: 1-59140-194-1; $79.95 h/c
ISBN: 1-59140-277-8; $64.95 s/c
eISBN: 1-59140-195-X
Publication Date: February, 2004
Imprint: Idea Group Publishing
Copyright 2004

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 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.

Please visit www.idea-group.com/books/details.asp?id=4283 to read more and to view an excerpt of this book.

Table of Contents
Agent-mediated knowledge acquisition for user profiling, Rule-Based Parsing for Web Data Extraction, Necessary Constraints for Database Selection in a Distributed Text Database Environment, Intelligent Agents and Computational Intelligence for Intelligent Search and Information Retrieval, Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning, A Multi-agent Approach to Collaborative Knowledge Production, Extracting Knowledge from Databases and Artificial Neural Networks with Genetic Programming: Iris Flower Classification Problem, A Textual Warehouse Approach: a Web Data Repository, Networking e-Learning Hosts Using Mobile Agent, Multilingual Web Content Mining: A User-Oriented Approach, Using Dynamically Acquired Background Knowledge For Information Extraction And Intelligent Search, Development of Agent-Based Electronic Catalog Retrieval System, Taxonomy Based Fuzzy Filtering of Search Results, A Study on Web Searching: Overlap and Distance of the Search Engine Results

Should you have any questions regarding this publication please feel free to contact Jennifer Sundstrom, Assistant Marketing Manager at jsundstrom@idea-group.com