DocumentCode :
3285506
Title :
Optimization of Data Mining in CRM Based on Rough Set Theory
Author :
Hua, Jiang ; Zhenxing, Cui
Author_Institution :
Sch. of Economic & Manage., Hebei Univ. of Eng., Handan, China
Volume :
3
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
252
Lastpage :
255
Abstract :
Based on the important theory of customer relationship management, this paper integrates the data mining technology into the implement of customer relationship management system, so that the system could provide a more formidable service for users in data analysis and decision-making to improve the usability of system. In the Data Mining technology, Rough Set Theory is introduced. At present, knowledge reduction and decision rule mining in decision are the research hotspots. The significance of condition attribute for decision is defined by decision attribute support degree. With heuristic information, minimal decision rule acquirement based on Rough Set Theory is researched. Finally, an example is used to verify the effectiveness and feasibility of this method.
Keywords :
customer relationship management; data mining; decision making; optimisation; rough set theory; CRM; customer relationship management system; data analysis; data mining; decision making; decision rule mining; heuristic information; knowledge reduction; minimal decision rule acquirement; optimization; rough set theory; Customer relationship management; Data mining; Databases; Decision making; Engineering management; Information technology; Marketing and sales; Set theory; Supply chain management; Technology management; CRM; Data Mining; Rough Set Theory; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.111
Filename :
5232107
Link To Document :
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