Constructing Customer´s Value Analysis Model Based on Expert System for Leisure Farms

Author

Qian, Feng ; Xu, Linwen

Author_Institution

Inst. of Manage. Sci. & Inf. Eng., Hangzhou Dianzi Univ., Hangzhou, China

Volume

1

fYear

2009

fDate

6-7 June 2009

Firstpage

328

Lastpage

331

Abstract

CRM, which aims to enhance the effectiveness and performance of the businesses by mining the useful business intelligence of customers, has now become a leading business strategy in highly competitive business environment. In this study, we intend to construct an expert system (ES) platform to address the customerpsilas value analysis based on artificial neural networks, and the construction procedure of value expansion and value prediction are effectively represented. Finally, an illustrative example owing to a leisure farm at Hangzhou in Zhejiang is also taken to demonstrate the feasibility and rationality of the proposed ES platform.

Keywords

competitive intelligence; customer relationship management; data mining; expert systems; leisure industry; neural nets; artificial neural networks; business intelligence mining; customer relationship management; customer value analysis model; expert system; leisure farms; value expansion; value prediction; Artificial intelligence; Artificial neural networks; Clustering algorithms; Computational intelligence; Data mining; Expert systems; Information analysis; Neurons; Performance analysis; Predictive models; Artificial neural networks; Customer relationship management; Expert system; Leisure farm; Value analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.150

Filename

5231117