Intelligent Agents for Data Mining and Information Retrieval

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.

Dr. Mohammadian has completed his Bachelor, Master and PhD in Computer Science in Australia. He is currently a senior lecturer at the school of computing at the University of Canberra in Australia. He is a senior member of several professional (computing and engineering) organizations. He is also currently the vice chair of the Institute of Electrical and Electronic Engineering (IEEE) ACT section. His research interests lie in Intelligent and adaptive systems, Intelligent Agents, fuzzy logic, genetic algorithms, neural networks and their applications in information retrieval, data mining, industrial automation, financial and business problems which involve real time data processing, planning and decision making. He is a member of over 30 international conferences and he has chaired several international conferences in intelligent agents and computational intelligence. He was the chair of the 2001 and 2003 International Conference on Intelligent Agents, Web Techno! logies and Internet Commerce.