Study on Corporate Financial Data Analysis System Based on Data Mining

DOI

10.2991/ameii-16.2016.24How to use a DOI?

Keywords

Data Mining, Financial Data, Analysis System

Abstract

With the development of economy and technology, data mining which is based on databases and business intelligence has been developed and widely applied to all fields, financial field included. It can explore hidden, useful information to help decision makers to search for the relationship among data and find out what has been ignored. Compared with traditional financial analysis, data mining can deal with massive financial data, to help the company's investors and policy makers to have in-depth understanding of the company's financial situation, and make right decisions. Here we design a financial data analysis system based on data mining model, and we conduct a comparative test by Logistic regression algorithm and decision tree algorithm, and the results show that using data mining algorithms to predict ROE business is feasible.

Copyright

© 2016, 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  - Pengwu Wang
PY  - 2016/04
DA  - 2016/04
TI  - Study on Corporate Financial Data Analysis System Based on Data Mining
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 119
EP  - 123
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.24
DO  - 10.2991/ameii-16.2016.24
ID  - Wang2016/04
ER  -