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Reseach Article

A Comparative Study of Techniques for Data Classification based on Naive Bayes

Published on December 2015 by Antriksh Pandita, Ajinkya Jadhav, Vijay Singh, Ashok Pawar, Nilav Mukhopadhyay
National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 5
December 2015
Authors: Antriksh Pandita, Ajinkya Jadhav, Vijay Singh, Ashok Pawar, Nilav Mukhopadhyay
b972987c-806d-42cb-94e5-0b477f2bbbf3

Antriksh Pandita, Ajinkya Jadhav, Vijay Singh, Ashok Pawar, Nilav Mukhopadhyay . A Comparative Study of Techniques for Data Classification based on Naive Bayes. National Conference on Advances in Computing. NCAC2015, 5 (December 2015), 1-4.

@article{
author = { Antriksh Pandita, Ajinkya Jadhav, Vijay Singh, Ashok Pawar, Nilav Mukhopadhyay },
title = { A Comparative Study of Techniques for Data Classification based on Naive Bayes },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 5 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncac2015/number5/23384-5050/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Antriksh Pandita
%A Ajinkya Jadhav
%A Vijay Singh
%A Ashok Pawar
%A Nilav Mukhopadhyay
%T A Comparative Study of Techniques for Data Classification based on Naive Bayes
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 5
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

The Naïve Bayes model is used for text classification and the data is considered by using the Naïve Bayes classifier and also the probabilistic based model. To define the discrete variable we use the multinomial distribution and for the numeric variable we use the Gaussian distribution. In this research, graphical structure has been considered due to properties of Naïve Bayes classifier such as flexibility, energy efficient and high performance. The main idea of classification has been introducedthat is the basic techniques for data classification which includes Naive Bayesian classifier.

References
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Index Terms

Computer Science
Information Sciences

Keywords

I. 5. 3 Clustering Similarity Measure H. 3. 1 Information Storage And Retrieval G. 1. 6 Global Optimization.