The Research of Improved Apriori Mining Algorithm in Bank Customer Segmentation

Gong Xin Yang

doi:10.4028/www.scientific.net/AMR.760-762.2244

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762The Research of Improved Apriori Mining Algorithm...

The Research of Improved Apriori Mining Algorithm in Bank Customer Segmentation

Abstract:

The This paper studies bank customers segmentation problem. Improved Apriori mining algorithm is a kind of data mining technology which is an important method in bank customers segmentation. In practical application, the traditional algorithm has shortcomings of the initial values sensitive and easy to fall into local optimal value, which will lead to low accuracy rate of silver class customer classification. According to the shortcomings of traditional algorithm, this paper puts forward a bank customer segmentation method based on improved Apriori mining algorithm in order to improve the bank customer segmentation accuracy. Experimental results show that the algorithm can effectively overcome the traditional algorithms shortcomings of easy to fall into local optimal value, improve the customer classification accuracy, make mining results more reasonable, lay down different customer service strategies for different client base, improve effective reference opinions of bank decision makers, and bring more benefits for the bank.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

2244-2249

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.2244

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Online since:

September 2013

Authors:

Gong Xin Yang

Keywords:

Bank, Clustering Analysis, Customer Segmentation, Improved Apriori Mining Algorithm

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