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Survey on Classification Techniques for Data Mining

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Vivek Agarwal, Saket Thakare, Akshay Jaiswal
10.5120/ijca2015907374

Vivek Agarwal, Saket Thakare and Akshay Jaiswal. Article: Survey on Classification Techniques for Data Mining. International Journal of Computer Applications 132(4):13-16, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Vivek Agarwal and Saket Thakare and Akshay Jaiswal},
	title = {Article: Survey on Classification Techniques for Data Mining},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {132},
	number = {4},
	pages = {13-16},
	month = {December},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

This paper focuses on the various techniques that can be implemented for classification of observations that are initially uncategorized. Our objective is to compare the different classification methods and classifiers that can be used for this purpose. In this paper, we study and demonstrate the different accuracies and usefulness of classifiers and the circumstances in which they should be implemented.

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Keywords

Classifiers, Naïve Bayes, SMO, Decision Tree, SVM, Sentiment, Analysis.