DocumentCode
2652242
Title
The Research of Data Pretreatment in CRM Based on Rough Set
Author
Liu, Yunfeng ; Ke, Lin ; Yuan, Yongke
Author_Institution
Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
92
Lastpage
97
Abstract
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.
Keywords
customer relationship management; data mining; rough set theory; customer relationship management; data mining algorithm; data pretreatment; data processing redundancy; rough set; Conference management; Customer relationship management; Data mining; Data processing; Data warehouses; Educational institutions; Information analysis; Risk analysis; Statistical analysis; Technology management; Attribute deduct; CRM; Data mining; Pretreatment; Rough set; Value deduct;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3330-8
Type
conf
DOI
10.1109/ICACC.2009.115
Filename
4777315
Link To Document