Research on Financial System Safety Performance under the Basis of Data Mining Environment

DOI

10.2991/meic-14.2014.89How to use a DOI?

Keywords

data mining; data mining technology; financial system; financial data; security

Abstract

The daily business operation of financial industry makes the abundant data collected by information system piling and expanding, which results in the existed relations and regulations in date can’t be identified in time that makes many valuable information hiding inside but being ignored or omitted. At the same time, if these magnanimity data cannot be effectively managed, the risk hiding in data can’t be avoided in time and the high security of finance can’t be reached. Therefore, this essay analyzes and researches the application in financial industry and existing problem based on data mining technology, whose objective is highlighting the advantage effect of it in data processing of financial industry and avoiding financial risk. Financial data are collected by many organizations like banks, stock exchange authorities, taxation authorities, big accounting and auditor offices specialized data bases, etc. and in some cases are publicly available. The application of data mining techniques on financial data can contribute to the solution of classification and prediction problems and facilitate the decision making process. Typical examples of financial classification problems are corporate bankruptcy, credit risk estimation, financial distress and corporate performance prediction.

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  - Shanwen Zhu
AU  - Jun Han
AU  - Yawei Hu
PY  - 2014/11
DA  - 2014/11
TI  - Research on Financial System Safety Performance under the Basis of Data Mining Environment
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 398
EP  - 401
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.89
DO  - 10.2991/meic-14.2014.89
ID  - Zhu2014/11
ER  -