doi: 10.7763/IJFCC.2015.V4.366
Analyzing Stock Market Data Using Clustering Algorithm
R. Suganthi
1
,
P. Kamalakannan
2
- 1 Department of Computer Applications, Valluvar college of Science and Management, Karur, India.
- 2 Department of Computer Applications, Government Arts College, Salem, India.
Abstract
In order to analyze the various sectors of thestocks in stock market field, need to use machine learningalgorithms to determine the particular sectors of the stocks inintraday trade. In this paper, we compared different types ofclustering algorithm with the help of data mining tool WEKA.This paper will demonstrate the strength and accuracy of eachalgorithm for clustering in terms of performance, efficiency and time complexity required.
Keywords
- Machine learning
- clustering
- weka tool
- multidatabase
- stock market data
How to Cite
R. Suganthi and P. Kamalakannan, "Analyzing Stock Market Data Using Clustering Algorithm," International Journal of Future Computer and Communication, vol. 4, no. 2, pp. 108-111, 2015. https://doi.org/ 10.7763/IJFCC.2015.V4.366
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).