Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818118
