By Topic

Fast algorithms for online generation of profile association rules

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

3 Author(s)
Aggarwal, C.C. ; IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA ; Zheng Sun ; Yu, P.S.

The results discussed in this paper are relevant to a large database consisting of consumer profile information together with behavioral (transaction) patterns. We introduce the concept of profile association rules, which discusses the problem of relating consumer buying behavior to profile information. The problem of online mining of profile association rules in this large database is discussed. We show how to use multidimensional indexing structures in order to actually perform the mining. The use of multidimensional indexing structures to perform profile mining provides considerable advantages in terms of the ability to perform very generic range-based online queries.

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:14 ,  Issue: 5 )