Agent Intelligence Through Data Mining / by Andreas L. Symeonidis, Pericles A. Mitkas.
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TextSeries: Multiagent systems, artificial societies, and simulated organizations ; 14Publication details: New York : Springer, 2005.Description: xxiii, 200 p. : ill. ; 24 cmISBN: - 0387243526 (alk. paper)
- 0387257578
- QA76.9.D343 S935 2005
| Item type | Current library | Call number | Copy number | Status | Barcode | |
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| Books | Library First Floor | QA76.9.D343 S935 2005 (Browse shelf(Opens below)) | 1 | Available | 11247 |
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| QA76.9.D343 L58 2007. Web data mining : exploring hyperlinks, contents, and usage data / | QA76.9.D343 M44 2003 Investigative data mining for security and criminal detection / | QA76.9.D343 P38 2005 Third International Conference on Advances in Pattern Recognition : ICAPR 2005, Bath, UK, August 22-25, 2005 : proceedings / | QA76.9.D343 S935 2005 Agent Intelligence Through Data Mining / | QA76.9.D343 .T35 2006 Introduction to data mining / | QA76.9.D343 .T35 2006 Introduction to data mining / | QA76.9.D35 A38 1999 Data Structures and Algorithms / |
Includes bibliographical references (p. [189]-198) and index.
From the contentsPart I. Concepts and Techniques. Introduction. Data Mining and Knowledge Discovery: A Brief Overview. Intelligent Agents and Multi-Agent Systems.- Part II. Methodology. Exploiting Data Mining on MAS. Coupling Data Mining with Intelligent Agents.- Part III. Knowledge Diffusion: Three Representative Test Cases. Data Mining on the Application Level of a MAS. Mining Agent Behaviors. Mining Knowledge for Agent Communities.- Part IV. Extensions. Agent Retraining and Dynamical Improvement of Agent Intelligence. Areas of Application and Future Directions.- Glossary. References. Index.
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.
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