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Data Mining and Multi-agent Integration

Editors: Cao, Longbing (Ed.)

  • Addresses the merger between two scientific areas: data mining and multiagents
  • Includes methodologies, techniques, algorithms and systems
  • Offers real-life applications and systems of multiagents
  • Provides new domain problems and knowledge for further research and development
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eBook $149.00
price for USA
  • ISBN 978-1-4419-0522-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4419-0521-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4899-8440-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Data Mining and Multi-agent Integration presents cutting-edge research, applications and solutions in data mining, and the practical use of innovative information technologies written by leading international researchers in the field. Topics examined include:

  • Integration of multiagent applications and data mining
  • Mining temporal patterns to improve agents behavior
  • Information enrichment through recommendation sharing
  • Automatic web data extraction based on genetic algorithms and regular expressions
  • A multiagent learning paradigm for medical data mining diagnostic workbench
  • A multiagent data mining framework
  • Streaming data in complex uncertain environments
  • Large data clustering
  • A multiagent, multi-objective clustering algorithm
  • Interactive web environment for psychometric diagnostics
  • Anomalies detection on distributed firewalls using data mining techniques
  • Automated reasoning for distributed and multiple source of data
  • Video contents identification

Data Mining and Multi-agent Integration is intended for students, researchers, engineers and practitioners in the field, interested in the synergy between agents and data mining. This book is also relevant for readers in related areas such as machine learning, artificial intelligence, intelligent systems, knowledge engineering, human-computer interaction, intelligent information processing, decision support systems, knowledge management, organizational computing, social computing, complex systems, and soft computing.

Reviews

From the reviews: “This book promotes the latest methodological, technical, and practical advancements in the use of agents in data mining applications. … chapters include extensive bibliographies. … The book is intended for students, researchers, engineers, and practitioners, in both agent and data mining areas, who are interested in the potential of integrating agents and mining. … interested readers who are willing to make an effort to build on the book’s material will benefit from reading it.” (J. P. E. Hodgson, ACM Computing Reviews, December, 2009)

Table of contents (23 chapters)

  • Introduction to Agent Mining Interaction and Integration

    Cao, Longbing

    Pages 3-36

  • Towards the Integration of Multiagent Applications and Data Mining

    Ralha, Célia Ghedini

    Pages 37-46

  • Agent-Based Distributed Data Mining: A Survey

    Moemeng, Chayapol (et al.)

    Pages 47-58

  • Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users’ Session Data

    Alam, Shafiq (et al.)

    Pages 61-75

  • Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies

    Fournier-Viger, Philippe (et al.)

    Pages 77-92

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4419-0522-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4419-0521-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4899-8440-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Data Mining and Multi-agent Integration
Editors
  • Longbing Cao
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-1-4419-0522-2
DOI
10.1007/978-1-4419-0522-2
Hardcover ISBN
978-1-4419-0521-5
Softcover ISBN
978-1-4899-8440-1
Edition Number
1
Number of Pages
XIV, 334
Topics