Agent Intelligence Through Data Mining

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Agent Intelligence Through Data Mining

Symeonidis, Andreas L. - Nama Orang; Mitkas, Pericles A. - Nama Orang;

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.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.

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Informasi Detail

Judul Seri: -
No. Panggil: -
Penerbit: Boston, MA : Springer., 2005
Deskripsi Fisik: XXVI, 206 p. 77 illus.online resource.
Bahasa: English
ISBN/ISSN: 9780387257570
Klasifikasi: 006.3
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 1st ed.
Subjek: Artificial intelligence.
Software engineering.
Software Engineering/Programming and Operating Systems.
Data mining.
Data Mining and Knowledge Discovery.
Data structures (Computer science).
Data Structures.
Database management.
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Andreas L. Symeonidis, Pericles A. Mitkas.

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