Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Classification of debit card customers based on AHP and K-means

Authors
Chunxin Jiang, Weidi Dai, Wenjun Wang, Yunqiang Jia
Corresponding Author
Chunxin Jiang
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.12How to use a DOI?
Keywords
Debit card, customer classifies.
Abstract
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.

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Proceedings
2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.12How to use a DOI?
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  - 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  -