Classification Techniques in Data Mining
M. Dukitha1 , R. Sindhu2
Section:Research Paper, Product Type: Journal Paper
Volume-07 ,
Issue-17 , Page no. 25-28, May-2019
Online published on May 22, 2019
Copyright © M. Dukitha, R. Sindhu . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: M. Dukitha, R. Sindhu, “Classification Techniques in Data Mining,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.17, pp.25-28, 2019.
MLA Style Citation: M. Dukitha, R. Sindhu "Classification Techniques in Data Mining." International Journal of Computer Sciences and Engineering 07.17 (2019): 25-28.
APA Style Citation: M. Dukitha, R. Sindhu, (2019). Classification Techniques in Data Mining. International Journal of Computer Sciences and Engineering, 07(17), 25-28.
BibTex Style Citation:
@article{Dukitha_2019,
author = {M. Dukitha, R. Sindhu},
title = {Classification Techniques in Data Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {17},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {25-28},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1303},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1303
TI - Classification Techniques in Data Mining
T2 - International Journal of Computer Sciences and Engineering
AU - M. Dukitha, R. Sindhu
PY - 2019
DA - 2019/05/22
PB - IJCSE, Indore, INDIA
SP - 25-28
IS - 17
VL - 07
SN - 2347-2693
ER -
Abstract
Data mining is a emerging field which has attracted a large number of information , industries due to huge volume of data managed in recent days. Classification techniques to improve business opportunity and to improve the quality of services provided. An classification is one of the most useful and important techniques. Classification techniques are useful to handle large amount of data. Various classification techniques covered in the paper is based on the decision tree. The regression tree based classification J48, CART and ID3.
Key-Words / Index Term
Classification, Decision tree, Regression, Naïve Bayes, J48, CART
References
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