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
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;
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
DOI :
10.1109/ICACC.2009.115