Application Research of Data Mining Technology for Financial Prediction
- 10.2991/ameii-16.2016.308How to use a DOI?
- Financial prediction, Data mining, Financial time series, Clustering analysis, Support vector machine
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.
- © 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/).
Cite this article
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 -