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...

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Bibliographic Details

Main Authors:	Das, Debashish, Sadiq, Ali Safa, Noraziah, Ahmad, Lloret, Jaime
Format:	Article
Language:	en
Published:	Old City Publishing 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	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 http://umpir.ump.edu.my/id/eprint/19909/ http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-29-number-1-2-2017/mvlsc-29-1-2-p-157-181/
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