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Reseach Article

Text Classification based on Association Rule Mining Technique

by Meenakshi Mishra, Santosh K. Vishwakarma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 10
Year of Publication: 2017
Authors: Meenakshi Mishra, Santosh K. Vishwakarma
10.5120/ijca2017914905

Meenakshi Mishra, Santosh K. Vishwakarma . Text Classification based on Association Rule Mining Technique. International Journal of Computer Applications. 169, 10 ( Jul 2017), 46-50. DOI=10.5120/ijca2017914905

@article{ 10.5120/ijca2017914905,
author = { Meenakshi Mishra, Santosh K. Vishwakarma },
title = { Text Classification based on Association Rule Mining Technique },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 10 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number10/28025-2017914905/ },
doi = { 10.5120/ijca2017914905 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:06.237559+05:30
%A Meenakshi Mishra
%A Santosh K. Vishwakarma
%T Text Classification based on Association Rule Mining Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 10
%P 46-50
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper association rule mining (ARM) and classification are explained and performed. The limitation of Classification without ARM is also discussed. The Paper also considers the use of association rule mining in classification approach in which a comparative study of Naïve Bayes Classifier and KNN is performed for this purpose. Finally, a comprehensive experimental study against FIRE data set is presented to evaluate and compare traditional and association rule based classification techniques with regards to classification performance.

References
  1. Abdullah S. Ghareb, Abdul Razak Hamdan, Azuraliza Abu Bakar, 2012 ”Association Rule Mining as a Data Mining Technique ”, 4th Conference on data mining and optimization.
  2. “Alaa Al Deen” Mustafa Nofal and Sulieman Bani-Ahmad, 2010 “Classification Based on Association-rule mining techniques”, Ubiquitous Computing and Communication Journal, Vol. 5.
  3. Bangaru Veera Balaji, Vedula Venkateswara Rao, 2013”Improved Classification Based Association Rule Mining”, International Journal of Advance Research in Computer and Communication Engineering, Vol. 2.
  4. Bing Liu, Wynne Hsu and Yiming Ma, 1998 “Integrating classification and Association Rule Mining”, AAAI.
  5. Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Parvez Naushad, S M Kamruzzaman 2010 “Text Classification using the Concept of Association Rule Of Data Mining”, International conference on information Technology.
  6. Karthik P, Saurabh M, and U Chandrasekhar,2016 “Classification of Text Documents Using Association Rule Mining with Critical Relative Support Based Pruning”, ICACCI.
  7. Prathibhamol C. P, Amala G.S and Malavika Kapadia,2016” Anomaly Detection based Multilevel Classification using Association Rule Mining (ADMLCAR)”, Intl. Conference on Advances in Computing, Communication and Information (ICACCI).
  8. R.Hubert Rajan, Julia Punitha Malar Dhas, 2012 “A method for Classification based on Association Rules using Ontology in web data”, International Journal of computer applications, volume 49.
  9. Senthil K. Palanisamy, 2006 “Association Rule Based classification”.
  10. Yang Junrui, Xu Lisha, 2012 “A Classification Algorithm Based on Association Rule Mining”, International Conference on Computer Science And Service System.
  11. Yannis Haralambous, Phillipe Lenca, 2014 “Text Classification using Association Rules Dep dependency pruning and Hyperonymization”, DMNLP.
  12. Zhohanghua Tang and quin Liao, 2007 “A new Class based Associative Classification Algorithm”, IAENG International journal of Applied Mathematics (IJAM).
  13. Shuanghui Luo, 2002 “Distributed Classification Based on Association Rules (DCBA) algorithm”
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Text Classification Association Rule Mining Classification with ARM Naïve Bayes KNN.