The analysis of CRM customer information based on data mining

Author

Hong Jiang ; Qingsong Yu ; Chang Liu ; Qing Zhu ; Liang Guo

Author_Institution

Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China

fYear

2013

fDate

23-25 July 2013

Firstpage

978

Lastpage

983

Abstract

Customer data in a training institution is analyzed in this paper. Based on cloud computing models, Google Maps API is used to obtain the accurate latitude and longitude geographic coordinates for the customers. With the customer´s geographic information as the basic dimensions, an improved data mining algorithm is proposed to cluster the customer information and acquire their clustering characteristics, which can not only support and optimize the marketing promotions, but also analyze and verify the scientific and reasonable distribution of the teaching and training centers.

Keywords

Internet; application program interfaces; cloud computing; customer services; data mining; geographic information systems; CRM customer information analysis; Google Maps API; cloud computing models; clustering characteristics; customer data; data mining; geographic coordinates; geographic information; marketing promotions; training institution; Algorithm design and analysis; Clustering algorithms; Customer relationship management; Data mining; Google; Training; clustering analysis; customer information; data mining; marketing promotion and campaign; marketing strategy;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2013 Ninth International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/ICNC.2013.6818118

Filename

6818118