Descripción del título
Agent Intelligence Through ...
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
Monografía
monografia Rebiun04337682 https://catalogo.rebiun.org/rebiun/record/Rebiun04337682 cr nn 008mamaa 100301s2005 xxu| s |||| 0|eng d 9780387257570 UPVA 996968076003706 UAM 991007756149304211 UNAV 006.312 23 Symeonidis, Andreas L. Agent Intelligence Through Data Mining Recurso electrónico] by Andreas L. Symeonidis, Pericles A. Mitkas Boston, MA Springer US 2005 Boston, MA Boston, MA Springer US XXVI, 206 p. 77 illus XXVI, 206 p. 77 illus Multiagent Systems, Artificial Societies, and Simulated Organizations, International Book Series 14 Springer eBooks From the contents Part 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 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 Forma de acceso: World Wide Web Mitkas, Pericles A. SpringerLink