Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Association rule mining algorithm based on privacy preserving

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

2 Author(s)
Sun Wei ; Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China ; Wang Yonggui

The goal of privacy preserving association rule is to find an approach of the original data set, making the relevant sensitive rules not to be found in a process of data mining. In order to efficiently achieve privacy preserving, this paper proposes an effective method for privacy preserving association rule. Trough the way of combining the basic strategies of PPARM algorithm and IMBA which are improved, making less-sensitive operations, a greater degree of hiding can be made while a less degree impact for the non-sensitive rules can be made too. Theoretical and experimental results show that the algorithm is highly efficient, and can ensure the privacy preserving better.

Published in:

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on  (Volume:4 )

Date of Conference:

26-28 Feb. 2010