Advanced Information and Knowledge Processing

Optimization Based Data Mining: Theory and Applications

Authors: Shi, Y., Tian, Y., Kou, G., Peng, Y., Li, J.

  • Introduces MCLP for data mining intuitively, systemically and comprehensively
  • Offers classification problems and regression problems which are the two main components of data mining
  • Constructs SVM's for solving multi-class classification problems
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eBook $129.00
price for USA (gross)
  • ISBN 978-0-85729-504-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-0-85729-503-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4471-2653-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.

Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.

Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

Table of contents (20 chapters)

  • Support Vector Machines for Classification Problems

    Shi, Yong (et al.)

    Pages 3-13

  • LOO Bounds for Support Vector Machines

    Shi, Yong (et al.)

    Pages 15-46

  • Support Vector Machines for Multi-class Classification Problems

    Shi, Yong (et al.)

    Pages 47-60

  • Unsupervised and Semi-supervised Support Vector Machines

    Shi, Yong (et al.)

    Pages 61-79

  • Robust Support Vector Machines

    Shi, Yong (et al.)

    Pages 81-105

Buy this book

eBook $129.00
price for USA (gross)
  • ISBN 978-0-85729-504-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-0-85729-503-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4471-2653-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Optimization Based Data Mining: Theory and Applications
Authors
Series Title
Advanced Information and Knowledge Processing
Copyright
2011
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-0-85729-504-0
DOI
10.1007/978-0-85729-504-0
Hardcover ISBN
978-0-85729-503-3
Softcover ISBN
978-1-4471-2653-9
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XVI, 316
Topics