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Text Classification based on Association Rule Mining Technique

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

Meenakshi Mishra and Santosh K Vishwakarma. Text Classification based on Association Rule Mining Technique. International Journal of Computer Applications 169(10):46-50, July 2017. BibTeX

@article{10.5120/ijca2017914905,
	author = {Meenakshi Mishra and Santosh K. Vishwakarma},
	title = {Text Classification based on Association Rule Mining Technique},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {10},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {46-50},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume169/number10/28025-2017914905},
	doi = {10.5120/ijca2017914905},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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

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Keywords

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