By Topic

Research on a data mining algorithm based on concept hierarchy tree and its application in CRM

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
$33 $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)
Feng Ye ; Economic & Manage. Coll., Zhejiang Univ. of Technol., China ; Juan Xiao

The method of concept hierarchy tree classifiers (CHTC) has been widely applied in today's large-scale data mining environments. This paper, after introducing the basic idea of data-mining algorithm based on CHTC, proposes an improved approach by making up for the defection of the existing concept exaltation algorithm to numerical attributes in the database. Moreover, a comparison of two algorithms in a practical case by testing on actual data has shown the effectiveness of the algorithm.

Published in:

Computer Supported Cooperative Work in Design, 2004. Proceedings. The 8th International Conference on  (Volume:2 )

Date of Conference:

26-28 May 2004