The research of improved Apriori mining algorithm in bank customer segmentation
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.792How to use a DOI?
- Improved Apriori mining algorithm, Customer segmentation, Clustering analysis, Bank,
- 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 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - GongXin Yang PY - 2013/03 DA - 2013/03 TI - The research of improved Apriori mining algorithm in bank customer segmentation BT - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2936 EP - 2939 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.792 DO - https://doi.org/10.2991/iccsee.2013.792 ID - Yang2013/03 ER -