Research on the Applications of Data Mining in Financial Prediction

DOI

10.2991/etmhs-15.2015.102How to use a DOI?

Keywords

Data Mining and Storage; Financial Prediction; Risk Analysis; Real-World Applications.

Abstract

Time series is an important data, the prevalence of time series to make use of data mining technology can effective access to information and knowledge discovery. In the process of time series data mining, feature representation and similarity measure is an important basic work, the smooth implementation of for other data mining task provides a good data processing method and technical support. Based on information entropy, this paper puts forward a kind of neural network classification method based on statistical learning theory, is different with the traditional neural network method. The proposed methodology is verified through the numerical analysis and experimental simulation. Further research interests are also discussed.

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  - Yingying Zhou
PY  - 2015/03
DA  - 2015/03
TI  - Research on the Applications of Data Mining in Financial Prediction
BT  - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 448
EP  - 453
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.102
DO  - 10.2991/etmhs-15.2015.102
ID  - Zhou2015/03
ER  -