Bank Customer Classification Model and Application Based on SVM

DOI

10.2991/isci-15.2015.47How to use a DOI?

Keywords

support vector machines; data mining; customer classification; commercial banks

Abstract

Based on the data mining method, support vector machine, technology and related analysis of variable selection methods, establishing binary classification model of VIP users and Ordinary users for commercial banks, executing classification prediction and results verifying on VIP users and Ordinary users of an Agricultural Bank in Changsha, and making comparative analysis on classification prediction accuracy and the time consuming when processing by comparing with neural network.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Hu
AU  - Kui Fang
AU  - Zhu Xinghui
PY  - 2015/01
DA  - 2015/01
TI  - Bank Customer Classification Model and Application Based on SVM
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 343
EP  - 350
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.47
DO  - 10.2991/isci-15.2015.47
ID  - Hu2015/01
ER  -