Application Research of Data Mining Technology for Financial Prediction

DOI

10.2991/ameii-16.2016.308How to use a DOI?

Keywords

Financial prediction, Data mining, Financial time series, Clustering analysis, Support vector machine

Abstract

Financial prediction is an important research direction of financial data mining. In addition to general common characteristics, nonlinear, non-stationaryand dynamic, financial time series is also of some other characteristics, such as high noise, non-normal, rush thick tail, etc. As a result, the financial forecast is more challenging, and has broad application value and market prospects. This paper mainly studies the application of fuzzy correction model and hybrid model based on clustering analysis and neural network in the field of financial forecast.

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  - Wei Su
PY  - 2016/04
DA  - 2016/04
TI  - Application Research of Data Mining Technology for Financial Prediction
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.308
DO  - 10.2991/ameii-16.2016.308
ID  - Su2016/04
ER  -