NDLI: The analysis of CRM customer information based on data mining

Content Provider	IEEE Xplore Digital Library
Author	Hong Jiang Qingsong Yu Chang Liu Qing Zhu Liang Guo
Copyright Year	2013
Description	Author affiliation: Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China (Hong Jiang; Qingsong Yu; Liang Guo) \|\| Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA (Chang Liu; Qing Zhu)
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.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	978
Ending Page	983
File Size	508332
Page Count	6
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6818118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis Google marketing strategy marketing promotion and campaign Clustering algorithms Customer relationship management data mining Data mining clustering analysis customer information
Content Type	Text
Resource Type	Article

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