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

被引:0
|
作者
Jiang, Chunxin [1 ]
Dai, Weidi [1 ]
Wang, Wenjun [1 ]
Jia, Yunqiang [1 ]
机构
[1] Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China
关键词
Debit card; customer classifies; SELECTION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:73 / 76
页数:4
相关论文
共 50 条
  • [41] K-means - a fast and efficient K-means algorithms
    Nguyen C.D.
    Duong T.H.
    Nguyen, Cuong Duc (nguyenduccuong@tdt.edu.vn), 2018, Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (11) : 27 - 45
  • [42] Application of AHP and K-Means Clustering for Assessing Digital Maturity of Companies
    Mahraz, Mohamed-Iliasse
    Benabbou, Loubna
    Berrado, Abdelaziz
    PROCEEDING OF THE 7TH INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT, GOL 2024, VOL 2, 2024, 1105 : 21 - 33
  • [43] GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
    Gong, Jianping
    Ma, Ruijie
    Li, Dengao
    Zhao, Jumin
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2022, 50 (05) : 805 - 813
  • [44] Intensity and K-Means Clustering based Treatment Classification of Posterior Capsular Opacification
    Shrestha, Raisha
    Kongprawechnon, Waree
    Leelasawassuk, Teesid
    Wongcumchang, Nattapon
    Kondo, Toshiaki
    2020 6TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2020, : 541 - 545
  • [45] Classification of Leukocyte Images Using K-Means Clustering Based on Geometry Features
    Rosyadi, Tsalis
    Arif, Agus
    Nopriadi
    Achmad, Balza
    Faridah
    2016 6TH INTERNATIONAL ANNUAL ENGINEERING SEMINAR (INAES), 2016, : 245 - 249
  • [46] GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
    Jianping Gong
    Ruijie Ma
    Dengao Li
    Jumin Zhao
    Journal of the Indian Society of Remote Sensing, 2022, 50 : 805 - 813
  • [47] Wood Color Classification Based on Color Spatial Features and K-means Algorithm
    Lin, Ye
    Chen, Dan
    Liang, Shijia
    Qiu, Yang
    Xu, Zhezhuang
    Zhang, Jiahao
    Liu, Xinxiang
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 3847 - 3851
  • [48] Research of Power User Load Classification Method Based on K-means and FSVM
    Sun RongQi
    Xiao XueQuan
    Zhou Feng
    Zhou YuShan
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 2138 - 2142
  • [49] Improved Fault Classification Method in Transmission Line based on K-means Clustering
    Zhai, Haibao
    Wang, Xingzhi
    Ge, Minhui
    Feng, Shuhai
    Cheng, Lin
    Deng, Yifan
    2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 154 - 158
  • [50] Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
    Dwiputranto, Teguh Handjojo
    Setiawan, Noor Akhmad
    Adji, Teguh Bharata
    TECHNOLOGIES, 2022, 10 (02)