SVM-based Abnormal Account Monitoring Model of Bank

DOI

10.2991/emtc-14.2014.47How to use a DOI?

Keywords

SVM, Abnormal account, Bank account flow, Suspicious transaction.

Abstract

The account transaction flow of bank loan customers reflects the capital transaction of customers and represents their management level. Normal account transaction flow shows regularity to some extent, while abnormal account transaction flow manifests itself differently in transaction amount and transaction frequency et al. When compared with those of normal account transaction flow, abnormal account usually shows abnormal change of fund flow caused by money laundering, hot money, private lending or bad management. In this study, based on identification approach between normal account and abnormal account, the characteristics of different industry transaction flow are drew out, and then the classification for normal and abnormal accounts of different industry is well established by the Support Vector Machine model. Thus, the loan monitoring and risk management can be conducted more appropriately and efficiently.

Copyright

© 2014, 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  - Qin Xue-Zhi
AU  - Li Jing-Yi
AU  - Hu You-Qun
PY  - 2014/04
DA  - 2014/04
TI  - SVM-based Abnormal Account Monitoring Model of Bank
BT  - Proceedings of the 2014 International Conference on Economic Management and Trade Cooperation
PB  - Atlantis Press
SP  - 274
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/emtc-14.2014.47
DO  - 10.2991/emtc-14.2014.47
ID  - Xue-Zhi2014/04
ER  -