Cart (Loading....) | Create Account
Close category search window
 

A pattern based framework for privacy preservation through association rule mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Karthikeswaran, D. ; Dept. of Comput. Sci. & Eng., Nandha Eng. Coll., Erode, India ; Sudha, V.M. ; Suresh, V.M. ; Sultan, A.J.

Data mining extracts novel and useful knowledge from large repositories of data and has become an effective analysis and decision means in corporation. The sharing of data for data mining can bring a lot of advantages for research and business collaboration. The misuse of these techniques may lead to the disclosure of sensitive information. However, large repositories of data contain private data and sensitive rules that must be protected before published. Motivated by the multiple conflicting requirements of data sharing, privacy preserving and knowledge discovery, and privacy preserving data mining has become a research hotspot in data mining and database security fields. Researchers have recently made efforts at hiding sensitive association rules. This paper presents a novel based approach that strategically modifies a few transactions in the database. It modifies support or confidence values for hiding sensitive rules without producing many side effects. Nevertheless, undesired side effects such as nonsensitive rules falsely hidden and spurious rules falsely generated, may be produced in the rule hiding process.

Published in:

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Date of Conference:

30-31 March 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.