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Advances in Database Systems

Association Rule Hiding for Data Mining

Authors: Gkoulalas-Divanis, Aris, Verykios, Vassilios S.

  • Association rule hiding is a new technique in data mining, which studies the problem of hiding sensitive association rules within the data
  • Association Rule Hiding for Data Mining addresses the problem of “hiding” sensitive association rules, and introduces a number of heuristic solutions.
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eBook $129.00
price for USA
  • ISBN 978-1-4419-6569-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-4419-6568-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
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  • ISBN 978-1-4614-2605-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique on data mining, which studies the problem of hiding sensitive association rules from within the data.

Association Rule Hiding for Data Mining addresses the optimization problem of “hiding” sensitive association rules which due to its combinatorial nature admits a number of heuristic solutions that will be proposed and presented in this book. Exact solutions of increased time complexity that have been proposed recently are also presented as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a discussion regarding unsolved problems and future directions. Specific examples are provided throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problem.

Association Rule Hiding for Data Mining is designed for researchers, professors and advanced-level students in computer science studying privacy preserving data mining, association rule mining, and data mining. This book is also suitable for practitioners working in this industry.

Table of contents (21 chapters)

  • Introduction

    Gkoulalas-Divanis, Aris (et al.)

    Pages 3-8

  • Background

    Gkoulalas-Divanis, Aris (et al.)

    Pages 9-15

  • Classes of Association Rule Hiding Methodologies

    Gkoulalas-Divanis, Aris (et al.)

    Pages 17-20

  • Other Knowledge Hiding Methodologies

    Gkoulalas-Divanis, Aris (et al.)

    Pages 21-24

  • Summary

    Gkoulalas-Divanis, Aris (et al.)

    Pages 25-25

Buy this book

eBook $129.00
price for USA
  • ISBN 978-1-4419-6569-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-4419-6568-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4614-2605-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Association Rule Hiding for Data Mining
Authors
Series Title
Advances in Database Systems
Series Volume
41
Copyright
2010
Publisher
Springer US
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-6569-1
DOI
10.1007/978-1-4419-6569-1
Hardcover ISBN
978-1-4419-6568-4
Softcover ISBN
978-1-4614-2605-9
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XX, 138
Number of Illustrations and Tables
60 b/w illustrations
Topics