Agent Intelligence Through Data Mining

Andreas L. Symeonidis, Pericles A. Mitkas

206 pages, parution le 31/08/2005

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Résumé

Knowledge, hidden in voluminous data repositories routinely created and maintained by today's applications, can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. Agent Intelligence Through Data Mining addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. This book contains a methodology, tools and techniques, and several examples of agent-based applications developed with this approach. This volume focuses mainly on the use of data mining for smarter, more efficient agents.

Agent Intelligence Through Data Mining is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.

Sommaire

Concepts and Techniques
Methodology
Knowledge Diffusion
Extensions
Glossary
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Andreas L. Symeonidis, Pericles A. Mitkas
Parution	31/08/2005
Nb. de pages	206
Format	16 x 24
Couverture	Relié
Poids	517g
Intérieur	Noir et Blanc
EAN13	9780387243528
ISBN13	978-0-387-24352-8