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Prediction of Market Capital for Trading Firms through Data Mining Techniques

by Aditya Nawani, Himanshu Gupta, Narina Thakur
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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

@article{ 10.5120/12165-8005,
author = { Aditya Nawani, Himanshu Gupta, Narina Thakur },
title = { Prediction of Market Capital for Trading Firms through Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 18 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number18/12165-8005/ },
doi = { 10.5120/12165-8005 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:33:10.104557+05:30
%A Aditya Nawani
%A Himanshu Gupta
%A Narina Thakur
%T Prediction of Market Capital for Trading Firms through Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 18
%P 7-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining MATLAB ANN Prediction Neural network

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