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Prediction of Market Capital for Trading Firms through Data Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 18 |
| Year of Publication: 2013 |
| Authors: Aditya Nawani, Himanshu Gupta, Narina Thakur |
10.5120/12165-8005
|
Aditya Nawani, Himanshu Gupta, Narina Thakur . Prediction of Market Capital for Trading Firms through Data Mining Techniques. International Journal of Computer Applications. 70, 18 ( May 2013), 7-12. DOI=10.5120/12165-8005
Abstract
The ultimate goal of data mining is prediction- and predictive data mining is the most common type of data mining and one that has most direct business applications. This paper discusses how one can apply data mining to design a market capital prediction system for trading firms[1]. The dataset is normalized and trained. The paper delves into the field of neural networks and shows how it can be utilized, in combination with the Graphical user Interface of MATLAB, GUIDE, to make accurate predictions. When implemented, the trained system can be used to forecast the market capital for a particular combination of input parameters. The accuracy of this method demonstrates its utility as a predictive tool.
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