A Comparative Study on Various Text Mining Algorithms in Data Mining

Authors

  • Prof. Neha Purohit  Assistant Professor, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India
  • Diksha A. Bandiwar  PG Scholar, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India
  • Aishwarya M. Bhoyar  PG Scholar, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India

Keywords:

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

Abstract

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.

References

  1. Abdullah Wahbeh H, Mohammed Al-Kabi., “Comparative Assessment of the Performance of Three WEKA Text Classifiers Applied to Arabic Text”, Vol. 21, No. 1, pp. 15- 28, 2012.
  2. Abdullah Wahbeh H, Qasem Al-Radaideh A, Mohammed Al-Kabi N, and Emad Al-ShawakfaM., “A Comparison Study between Data Mining Tools over some Classification Methods”.
  3. Artur Ferreira., “Survey on Boosting Algorithms for Supervised and Semi-supervised Learning”.
  4. Christophe Giraud-Carrier., “Meta learning - A Tutorial”.
  5. Christoph Goller, Joachim Löning., Thilo Will, Werner Wolff., “Automatic Document Classification: A thorough Evaluation of various Methods”.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Neha Purohit, Diksha A. Bandiwar, Aishwarya M. Bhoyar, " A Comparative Study on Various Text Mining Algorithms in Data Mining, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.830-834, March-April-2019.