Classification of debit card customers based on AHP and K-means
Chunxin Jiang, Weidi Dai, Wenjun Wang, Yunqiang Jia
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.12How to use a DOI?
- Debit card, customer classifies.
- Debit card business is a very important business, bank debit card and bank users the most on the one hand, so every year the debit card user transaction data is very huge, in what is now the era of big data, data is wealth, we have huge debit card transaction data, you need to use big data technology to deal with the data analysis, found that there were a rule, and conducive to the development of bank data and results are obtained.In this article, through analysis of transaction data of debit card users, debit card users are classified, and the bank large customers and high quality clients and has great potential customers, and puts forward the time were significantly abnormal in the transaction data
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chunxin Jiang AU - Weidi Dai AU - Wenjun Wang AU - Yunqiang Jia PY - 2016/06 DA - 2016/06 TI - Classification of debit card customers based on AHP and K-means BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.12 DO - https://doi.org/10.2991/mecs-17.2017.12 ID - Jiang2016/06 ER -