Overview
- Addresses the merger between two scientific areas: data mining and multi-agents
- Includes methodologies, techniques, algorithms, and systems
- Real-life applications and systems of multi-agents
- Provides new domain problems and knowledge for further research and development
- Written by leading researchers in this area
- Includes supplementary material: sn.pub/extras
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Table of contents(23 chapters)
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Introduction to Agents and Data Mining Interaction
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Data Mining Driven Agents
About this book
Reviews
Editors and Affiliations
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Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia
Longbing Cao
Bibliographic Information
Book Title: Data Mining and Multi-agent Integration
Editors: Longbing Cao
DOI: https://doi.org/10.1007/978-1-4419-0522-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-1-4419-0521-5Published: 04 August 2009
Softcover ISBN: 978-1-4899-8440-1Published: 10 February 2015
eBook ISBN: 978-1-4419-0522-2Published: 25 July 2009
Edition Number: 1
Number of Pages: XIV, 334
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Artificial Intelligence