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Agent Intelligence Through Data Mining de Andreas L Symeonidis

Agent Intelligence Through Data Mining

Autor Andreas L Symeonidis, Pericles A Mitkas
en Limba Engleză Hardback – 15 iul 2005
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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Specificații

ISBN-13: 9780387243528
ISBN-10: 0387243526
Pagini: 206
Ilustrații: XXVI, 206 p. 77 illus.
Dimensiuni: 163 x 243 x 18 mm
Greutate: 0.47 kg
Ediția:2005. Corr. 2nd Printing 2006 edition
Editura: Springer Us
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.
Knowledge, routinely created and maintained by today’s applications, is hidden in voluminous data repositories that 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. 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.
AGENT INTELLIGENCE THROUGH DATA MINING 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.

Caracteristici

Authors prove utilization of data mining to support machine learning tasks in multi-agent systems research confirms the fact that these two technologies are capable of mutual enrichment This joint use results in information systems with emergent properties