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Comparison on Different Data Mining Algorithms

Aruna J. Chamatkar1 , P.K. Butey2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-10 , Page no. 54-58, Oct-2014

Online published on Nov 02, 2014

Copyright © Aruna J. Chamatkar , P.K. Butey . 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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IEEE Style Citation: Aruna J. Chamatkar , P.K. Butey , “Comparison on Different Data Mining Algorithms,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.10, pp.54-58, 2014.

MLA Style Citation: Aruna J. Chamatkar , P.K. Butey "Comparison on Different Data Mining Algorithms." International Journal of Computer Sciences and Engineering 2.10 (2014): 54-58.

APA Style Citation: Aruna J. Chamatkar , P.K. Butey , (2014). Comparison on Different Data Mining Algorithms. International Journal of Computer Sciences and Engineering, 2(10), 54-58.

BibTex Style Citation:
@article{Chamatkar_2014,
author = {Aruna J. Chamatkar , P.K. Butey },
title = {Comparison on Different Data Mining Algorithms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2014},
volume = {2},
Issue = {10},
month = {10},
year = {2014},
issn = {2347-2693},
pages = {54-58},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=285},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=285
TI - Comparison on Different Data Mining Algorithms
T2 - International Journal of Computer Sciences and Engineering
AU - Aruna J. Chamatkar , P.K. Butey
PY - 2014
DA - 2014/11/02
PB - IJCSE, Indore, INDIA
SP - 54-58
IS - 10
VL - 2
SN - 2347-2693
ER -

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Abstract

Data mining an interdisciplinary research area spanning several disciplines such as machine learning, database system, expert system, intelligent information systems and statistic. Data mining has evolved into an active and important area of research because of previously unknown and interesting knowledge from very large real-world database. Many aspects of data mining have been investigated in several related fields. A unique but important aspect of the problem lies in the significance of needs to extend their studies to include the nature of the contents of the real world database. In this paper we are going to compare the three different algorithms which are commonly used in data mining. These three algorithms are CHARM Algorithm, Top K Rules mining and CM SPAM Algorithm.

Key-Words / Index Term

Data Mining, CHARM algorithm, K rule mining, CM SPAM Algorithm

References

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