Stock Market Prediction with Big Data Through Hybridization of Data Mining and Optimized Neural Network Techniques
The stock market is non-linear in nature, making forecasting a very complicated, challenging and uncertain process. Employing traditional methods may not ensure the reliability of stock prediction. In this paper, we have applied both data mining and optimized neural network in stock prediction with...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Old City Publishing
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19909/ http://umpir.ump.edu.my/id/eprint/19909/ http://umpir.ump.edu.my/id/eprint/19909/1/Stock%20Market%20Prediction%20with%20Big%20Data%20Through%20Hybridization%20of%20Data%20Mining%20and%20Optimized%20Neural%20Network%20Techniques.pdf |