The CRM Model Design Based on Rough Sets and Cluster

Author

Guan, Hongbo ; Yang, Baoan

Author_Institution

Coll. of Econ. & Trade, Shanghai Fisheries Univ.

fYear

2006

fDate

21-23 June 2006

Firstpage

593

Lastpage

596

Abstract

This paper develops an analytical CRM model, called C-RS model, based on the rough sets theory and cluster method. The cluster algorithm K-means is used to classify the data set into different groups according to different distance. Hu´s algorithm and IADT have been applied to study the rough sets analytical model. The proposed C-RS model is innovatively combines the advantages of two methods to classify the data set and provide characteristics of the different classifications. Many analytical models of CRM can be created based on the C-RS model. Then, not only the classification of customers but also characteristics of customer´s can be found. At last, a simple example is given

Keywords

customer relationship management; data mining; pattern classification; pattern clustering; rough set theory; CRM model design; K-means cluster algorithm; customer data set classification; rough set analytical model; rough set theory; Analytical models; Approximation algorithms; Aquaculture; Clustering algorithms; Data analysis; Data mining; Educational institutions; Environmental economics; Rough sets; Stress; CRM; Cluster; Rough Sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Operations and Logistics, and Informatics, 2006. SOLI '06. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

1-4244-0317-0

Electronic_ISBN

1-4244-0318-9

Type

conf

DOI

10.1109/SOLI.2006.328953

Filename

4125647