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Agent Intelligence Through Data Mining-[1]-[2005]-[djvu]-[Andreas L. Symeonidis, Pericles A. Mitkas (auth.)]

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书籍信息:
书名: Agent Intelligence Through Data Mining
语言: English
格式: djvu
大小: 2.5M
页数: 206
年份: 2005
作者: Andreas L. Symeonidis, Pericles A. Mitkas (auth.)
版次: 1
系列: Multiagent Systems, Artificial Societies, and Simulated Organizations 14
出版社: Springer US

简介

<STRONG>AGENT INTELLIGENCE THROUGH DATA MINING</STRONG> 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. <STRONG>AGENT INTELLIGENCE THROUGH DATA MINING</STRONG> 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.
<STRONG>AGENT INTELLIGENCE THROUGH DATA MINING</STRONG> 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.




目录
Introduction....Pages 3-10
Data Mining and Knowledge Discovery: A Brief Overview....Pages 11-40
Intelligent Agents and Multi-Agent Systems....Pages 41-55
Exploiting Data Mining on Mas....Pages 59-70
Coupling Data Mining with Intelligent Agents....Pages 71-90
Data Mining on the Application Level of a Mas....Pages 93-113
Mining Agent Behaviors....Pages 115-133
Mining Knowledge for Agent Communities....Pages 135-160
Agent Retraining and Dynamical Improvement of Agent Intelligence....Pages 163-175
Areas of Application & Future Directions....Pages 177-188

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