By Topic

The Research of Data Pretreatment in CRM Based on Rough Set

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

3 Author(s)
Yunfeng Liu ; Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing ; Lin Ke ; Yongke Yuan

The data pretreatment to reduce the redundancy of data and eliminate the data imprecise is the bottleneck in data mining. This article uses the superiority of the rough set model to eliminate the data imprecise, reduce the redundancy as far as possible in the data pretreatment and reduces the data capacity by the deduction of the attributes and deduction of values. It has also laid the foundation for the following data mining algorithm to reduce the time of process. By the example proof, it is one better algorithm according to incomplete and redundancy data processing.

Published in:

Advanced Computer Control, 2009. ICACC '09. International Conference on

Date of Conference:

22-24 Jan. 2009