Data Mining and Multi-Agent Integration

Author:   Longbing Cao
Publisher:   Springer
ISBN:  

9781441905239


Pages:   344
Publication Date:   26 November 2009
Format:   Undefined
Availability:   Out of stock   Availability explained


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Data Mining and Multi-Agent Integration


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Overview

This edited book reports on the state-of-the-art research and development progress in promoting the synergism of two cutting-edge technologies agents and data mining. The volume presents the methodologies, algorithms and systems that integrate these two technologies. The text highlights:

  • basic concepts and techniques in agents-data mining interaction and integration
  • techniques to build data mining systems from agent perspectives, and the advantages of this approach
  • how to enhance agents capabilities through data mining
  • efficient and effective ways to integrate agents and data mining techniques
  • case studies demonstrating the mutual enhancement of the integration
  • theoretical and applied problems arising at the cross boundary of multiagent, data mining and KDD technologies
  • new problems, challenges, and their impact on the future trends in these areas and in information technology as a whole.

Full Product Details

Author:   Longbing Cao
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 1.80cm , Length: 15.60cm
Weight:   0.481kg
ISBN:  

9781441905239


ISBN 10:   1441905235
Pages:   344
Publication Date:   26 November 2009
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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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)


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