Title :
The Research of CRM Intellectualization Based on Rough Set
Author :
Jiahua, Tian ; Guangjin, Zhang ; Feng, Lv
Author_Institution :
Sch. of Politics & Law, China Univ. of Geosci. (CUG), Wuhan, China
Abstract :
The analytic customer relationship management is the key to gain customers and realize intellectualization in customer relationship management for enterprises. This paper proposed one kind of improved intellectualization model of customer relationship management based on rough set, this model carries on the data pretreatment and data mining at one time instead of processing them in two steps. In the model, the data mining algorithm guaranteed the authenticity of the data, and avoided the strict constraint to data which the rough set algorithm requires. Finally, a case diagnosis proved the model is effective and feasible.
Keywords :
customer relationship management; data mining; rough set theory; analytic customer relationship management; data authenticity; data mining; data pretreatment; intellectualization model; rough set algorithm; Appraisal; Cost benefit analysis; Customer relationship management; Data mining; Data warehouses; Filters; Geology; Information analysis; Information technology; Predictive models; Customer Relationship Management; Rough Set; data collection; data mining;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.224