Agent Intelligence Through Data Mining

Agent Intelligence Through Data Mining

by Andreas L. Symeonidis, Pericles A. Mitkas
     
 

"This book offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a)the use of data… See more details below

Overview

"This book offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a)the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases." This book is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

Product Details

ISBN-13:
9780387243528
Publisher:
Springer US
Publication date:
07/15/2005
Series:
Multiagent Systems, Artificial Societies, and Simulated Organizations Series, #14
Edition description:
1st ed. 2005. Corr. 2nd printing 2006
Pages:
206
Product dimensions:
0.56(w) x 6.14(h) x 9.21(d)

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