Applied Research on Client Identification Based on Association Rules

Jun Feng Tian; Li Xian Li

doi:10.4028/www.scientific.net/AMM.66-68.432

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68Applied Research on Client Identification Based on...

Applied Research on Client Identification Based on Association Rules

Abstract:

Today, with increasing competition, enterprises are facing unprecedented challenges. How to identify clients has become an important project in the development of competition among enterprises. Client identification based on association rules will be conducive to the innovation of traditional business management thinking. An effective method for client identification should be carried out with exploratory data analysis, improving ability to identify clients for enterprises and finding more interesting, more practical and more specific association rules between the data.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

432-435

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.432

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Online since:

July 2011

Authors:

Jun Feng Tian, Li Xian Li

Keywords:

Association Rule, Classification, Client Identification, Clustering, Data Mining (DM)

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