Agent Intelligence Through Data Mining

Author:   Andreas L. Symeonidis ,  Pericles A. Mitkas
Publisher:   Springer-Verlag New York Inc.
Edition:   2005
Volume:   14
ISBN:  

9781441937247


Pages:   206
Publication Date:   04 October 2011
Format:   Paperback
Availability:   Out of stock   Availability explained
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Agent Intelligence Through Data Mining


Overview

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.

Full Product Details

Author:   Andreas L. Symeonidis ,  Pericles A. Mitkas
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2005
Volume:   14
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.355kg
ISBN:  

9781441937247


ISBN 10:   1441937242
Pages:   206
Publication Date:   04 October 2011
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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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