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A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets

Published on December 2013 by D. Sheela Jeyarani, G. Anushya, R. Raja Rajeswari, A. Pethalakshmi
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International Conference on Computing and information Technology 2013
Foundation of Computer Science USA
IC2IT - Number 2
December 2013
Authors: D. Sheela Jeyarani, G. Anushya, R. Raja Rajeswari, A. Pethalakshmi
ad9d8785-6cf6-4533-8f47-f6c231660b2a

D. Sheela Jeyarani, G. Anushya, R. Raja Rajeswari, A. Pethalakshmi . A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets. International Conference on Computing and information Technology 2013. IC2IT, 2 (December 2013), 5-7.

@article{
author = { D. Sheela Jeyarani, G. Anushya, R. Raja Rajeswari, A. Pethalakshmi },
title = { A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets },
journal = { International Conference on Computing and information Technology 2013 },
issue_date = { December 2013 },
volume = { IC2IT },
number = { 2 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 5-7 },
numpages = 3,
url = { /proceedings/ic2it/number2/14392-1312/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and information Technology 2013
%A D. Sheela Jeyarani
%A G. Anushya
%A R. Raja Rajeswari
%A A. Pethalakshmi
%T A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets
%J International Conference on Computing and information Technology 2013
%@ 0975-8887
%V IC2IT
%N 2
%P 5-7
%D 2013
%I International Journal of Computer Applications
Abstract

Data Mining is a process to discover valuable patterns from large datasets. Classification is an important data mining functionality and it employs supervised learning to predict class labels for a given sample. This research paper apprises about two important classification algorithms, Decision trees and Naive Bayesian and compares their predictive accuracy on selected medical datasets.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Comparative Study