Research on the Application of Data Mining Technology in Stock Market Development Prediction

DOI

10.2991/iccmcee-15.2015.260How to use a DOI?

Keywords

Data Mining, Stock Prediction, Clustering, Neural Network

Abstract

The stock market is an important part of the securities industry and financial industry essential, universal attention by investors. Effective stock prediction plays an important role in the field of financial investment, so on the stock price of analysis and prediction has a very important theoretical significance and practical value. Based on data mining technology, this paper analyzes and predicts the trend of stock market. The goal is to establish a forecasting model using neural network in data mining, and to seek the combination of data mining algorithm and stock forecast through the analysis of the forecast process and the forecast results.

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  - WenJing Gong
PY  - 2015/11
DA  - 2015/11
TI  - Research on the Application of Data Mining Technology in Stock Market Development Prediction
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1383
EP  - 1386
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.260
DO  - 10.2991/iccmcee-15.2015.260
ID  - Gong2015/11
ER  -