Agent Intelligence Through Data Mining

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ISBN-13:
9780387243528
Veröffentl:
2005
Erscheinungsdatum:
15.07.2005
Seiten:
206
Autor:
Andreas L Symeonidis
Gewicht:
472 g
Format:
243x163x18 mm
Sprache:
Englisch
Beschreibung:

AGENT INTELLIGENCE THROUGH DATA MINING 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 more mundane use of intelligent agents for improved data mining and; b) the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume.
Agent Intelligence Through Data Mining unifies and integrates methodology and provides the ability to infuse knowledge extracted by the use of data mining techniques into agents and Multi-Agent Systems (MAS). This book includes the investigation and application of a great number of data mining methods on MAS application. Due to the nature of the technologies involved, the authors present a number of generic multi-agent models, and a novel agent-oriented data mining algorithm to be applied to specific problems presented within this book.
Concepts and Techniques.- Data Mining and Knowledge Discovery: A Brief Overview.- Intelligent Agents and Multi-Agent Systems.- Methodology.- Exploiting Data Mining on Mas.- Coupling Data Mining with Intelligent Agents.- Knowledge Diffusion: Three Representative Test Cases.- Data Mining on the Application Level of a Mas.- Mining Agent Behaviors.- Mining Knowledge for Agent Communities.- Extensions....- Agent Retraining and Dynamical Improvement of Agent Intelligence.- Areas of Application & Future Directions.

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