There is a large increase in the amount of information available on the World Wide Web and also in the number of online databases. This information abundance increases the complexity of locating relevant information. Such 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 the 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 be used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-the-art for cutting edge researchers.
About the Editor
Masoud Mohammadian is a member of over 30 international conferences and he has chaired several international conferences in computational intelligence and intelligent agents. He is currently a senior lecturer at the school of computing at the University of Canberra in Australia. He is currently the vice chair of the Institute of Electrical and Electronic Engineering (IEEE) ACT section.
