Comparative Study on Various Text Mining Algorithms in Data Mining

Authors(2) :-M. Prakash, A.Jesudasan

This paper describes about text mining from the source of data mining. Data mining is nothing but an extraction of hidden knowledge from the huge database. There are lot of domains in data mining as text mining, image mining, sequential pattern mining, web mining and so. Here text mining can be used for extracting the information of the text using various algorithms using data mining software called WEKA. The data sets are taken from the UCI repository for performing the text mining techniques.

Authors and Affiliations

M. Prakash
Assistant Professor, Department of Computer Science, Shanmuga Industries Arts and Science College, Tamilnadu, India
A.Jesudasan
Department of Computer Science, Shanmuga Industries Arts and Science College, Tamilnadu, India

Text mining, Data mining, WEKA, UCI repository, Algorithms

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Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 87-91
Manuscript Number : CSEIT184315
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Prakash, A.Jesudasan, "Comparative Study on Various Text Mining Algorithms in Data Mining", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 3, pp.87-91, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT184315

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