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Reseach Article

A Survey of Classification Methods and its Applications

by Geetika
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 17
Year of Publication: 2012
Authors: Geetika
10.5120/8512-2213

Geetika . A Survey of Classification Methods and its Applications. International Journal of Computer Applications. 53, 17 ( September 2012), 14-16. DOI=10.5120/8512-2213

@article{ 10.5120/8512-2213,
author = { Geetika },
title = { A Survey of Classification Methods and its Applications },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 17 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number17/8512-2213/ },
doi = { 10.5120/8512-2213 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:19.029258+05:30
%A Geetika
%T A Survey of Classification Methods and its Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 17
%P 14-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data classification is the categorization of data for its most effective and efficient use. Data can be classified according to any criteria, not only relative importance or frequency of use. Classification can help an organization to meet legal and regulatory requirements for retrieving specific information within a set timeframe, and this is often the motivation behind implementing data classification methods and algorithms. The paper contains brief discussion of various classification methods that includes decision trees, K-nearest neighbor classifier, naïve bayes classifier and neural network. The paper also discusses some applications of classification model and at the end the paper is concluded with the brief observations of these classification models.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Naive Bayes K-Nearest Neighbor classifier Neural network classifiers