Abstract—In order to analyze the various sectors of the
stocks in stock market field, need to use machine learning
algorithms to determine the particular sectors of the stocks in
intraday trade. In this paper, we compared different types of
clustering algorithm with the help of data mining tool WEKA.
This paper will demonstrate the strength and accuracy of each
algorithm for clustering in terms of performance, efficiency and time complexity required.
Index Terms—Machine learning, clustering, weka tool, multi
database, stock market data.
R. Suganthi is with the Department of Computer Applications, Valluvar
college of Science and Management, Karur, India (e-mail:
mcasuganthi2011@gmail.com).
P. Kamalakannan is with the Department of Computer Applications,
Government Arts College, Salem, India (e-mail:
kamal_karthi96@yahoo.com).
[PDF]
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.
