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Analysis of Different Data Mining Tools using Classification, Clustering and Association Rule Mining

by Pritam H. Patil, Suvarna Thube, Bhakti Ratnaparkhi, K. Rajeswari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 8
Year of Publication: 2014
Authors: Pritam H. Patil, Suvarna Thube, Bhakti Ratnaparkhi, K. Rajeswari
10.5120/16238-5766

Pritam H. Patil, Suvarna Thube, Bhakti Ratnaparkhi, K. Rajeswari . Analysis of Different Data Mining Tools using Classification, Clustering and Association Rule Mining. International Journal of Computer Applications. 93, 8 ( May 2014), 35-39. DOI=10.5120/16238-5766

@article{ 10.5120/16238-5766,
author = { Pritam H. Patil, Suvarna Thube, Bhakti Ratnaparkhi, K. Rajeswari },
title = { Analysis of Different Data Mining Tools using Classification, Clustering and Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 8 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number8/16238-5766/ },
doi = { 10.5120/16238-5766 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:18.586740+05:30
%A Pritam H. Patil
%A Suvarna Thube
%A Bhakti Ratnaparkhi
%A K. Rajeswari
%T Analysis of Different Data Mining Tools using Classification, Clustering and Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 8
%P 35-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now days in all fields to extract useful knowledge from data, data mining techniques like classification, clustering, association rule mining are useful. In data mining classification is categorization of different objects and Clustering is methodology using which we will be able to club objects of similar type. Another methodology like association rule mining (ARM) [1] is useful to find out association relationship among different objects. This paper compares performance of different data mining tools [2] like WEKA [3], XLMiner [4] and KNIME [5] for these data mining techniques. We have used Statlog heart disease dataset [6] for analyzing performance of tools.

References
  1. A. M. Khattak, A. M. Khan, Sungyoung Lee, Young-Koo Lee, "Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and Weka", International Journal of Database Theory and Application Vol. 3, No. 1, March, 2010
  2. M. Vijayakamal, Mulugu Narendhar "A Novel Approach for WEKA & Study On Data mining Tools", International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 2, August 2012
  3. http://www. cs. waikato. ac. nz/ml/weka
  4. http://www. solver. com/xlminer-data-mining
  5. Michael R. Berthold, Nicolas Cebron, Fabian Dill, Giuseppe Di Fatta, Thomas R. Gabriel, Florian Georg, Thorsten Meinl, Peter Ohl, Christoph Sieb, and Bernd Wiswedel. "Knime: The Konstanz Information Miner", White paper
  6. http://repository. seasr. org/Datasets/UCI/arff
  7. Jiawei Han, Micheline Kamber, "Data Mining: Concepts and Techniques, Third Edition"
  8. P. Yasodha, M. Kannan "Analysis of a Population of Diabetic Patients Databases in Weka Tool", International Journal of Scientific & Engineering Research Volume 2, Issue 5, May-2011 ISSN 2229-5518
  9. http://www. knime. org
  10. C. V. Subbulakshmil, S. N. Deepa, N. Malathi, "Comparative Analysis of XLMiner and WEKA for Pattern Classification", 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies
  11. Swasti Singhal, Monika Jena, "A Study on WEKA Tool for Data Preprocessing, Classification and Clustering", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-6, May 2013
  12. P. Isakki alias Devi, S. P. Rajagopalan "Analysis of Customer Behavior using Clustering and Association Rules", International Journal of Computer Applications (0975 – 8887) Volume 43– No. 23, April 2012
Index Terms

Computer Science
Information Sciences

Keywords

Classification Clustering Association rule mining WEKA KNIME XLMiner.

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