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 pratical 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.

This book is dedicated to the theory and applications of Intelligent Systems. Research and development in the Intelligent Systems area is growing rapidly due to many successful applications of these new techniques in very diverse problems. Intelligent Systems and Techniques covers many fields such as neural networks, (adaptive) fuzzy logic, evolutionary computing and their hybrids and derivatives. This book aims to provide highlights of the current research in the Intelligent Systems area. It consists of research papers in the fields of neural networks, fuzzy logic, genetic algorithms and evolutionary computing, knowledge acquisition and knowledge discovery, intelligent agents, image processing, robotics and automation, speech recognition, signal processing and control, data mining and information retrieval, case-based reasoning and clustering.