The research of improved Apriori mining algorithm in bank customer segmentation

GongXin Yang
2013 Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)   unpublished
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 value's 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
more » ... r 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 algorithm's 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.
doi:10.2991/iccsee.2013.792 fatcat:6glktt2favdcbg3sj4jxjqtg5u