An Observation of Different Algorithmic Technique of Association Rule and Clustering

Authors

  • Pawan S. Wasnik School of Computational Sciences &S.R.T.M. University, Nanded, India
  • S.D. Khamitkar School of Computational Sciences &S.R.T.M. University, Nanded, India
  • Parag Bhalchandra School of Computational Sciences &S.R.T.M. University, Nanded, India
  • S. N. Lokhande School of Computational Sciences &S.R.T.M. University, Nanded, India
  • Ajit S. Adte School of Computational Sciences &S.R.T.M. University, Nanded, India

Keywords:

EDM, Association Rules, Clustering

Abstract

In this present research, we collected the scientific analysis of the data mining techniques and we also have reviewed some of the association rules and clustering method. This research workis also having some tabular comparison of different techniques used by different researcher.

 

References

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Hung-Pin Chiu, Yi-Tsung Tang, and Kun-Lin Hsieh, “A Cluster-Based Method for Mining Generalized Fuzzy Association Rules”, Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC`06), 0-7695-2616-0/06 $20.00 © 2006 IEEE

Daniel A. Keim, Florian Mansmann, JornSchneidewind, and Hartmut Ziegler, “Challenges in Visual Data Analysis∗” ,Proceedings of the Information Visualization (IV’06), 0-7695-2602-0/06 $20.00 © 2006 IEEE

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Published

2018-01-30

How to Cite

[1]
P. S. Wasnik, S. Khamitkar, P. Bhalchandra, S. N. Lokhande, and A. S. Adte, “An Observation of Different Algorithmic Technique of Association Rule and Clustering”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 1, pp. 28–30, Jan. 2018.

Issue

Section

Review Article

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