The Research of Data Pretreatment in CRM Based on Rough Set

被引：0
|
作者：
Liu, Yunfeng [1 ]
Ke, Lin [1 ]
Yuan, Yongke [1 ]
机构：
[1] Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL : ICACC 2009 - PROCEEDINGS | 2009年
关键词：
CRM; Rough set; Data mining; Attribute deduct; Value deduct; Pretreatment;
D O I：
10.1109/ICACC.2009.115
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：92 / 97
页数：6
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