The Efficient Clustering algorithms for Data Mining : A Review

Authors

  • Gurveer Singh  Research Scholar, Giani Zail Singh Campus College of Engineering & Technology, Bathinda, Punjab, India
  • Dinesh Kumar  Associate Professor, Giani Zail Singh Campus College of Engineering & Technology, Bathinda, Punjab, India

Keywords:

Clustering, Symmetric, Asymmetric, K-Means

Abstract

The data mining is the technique which is used to mine the useful information from the rough data. The clustering is the technique which is used under data mining to cluster similar and dis-similar type of data. The various algorithms has been proposed in data mining to cluster similar and dissimilar type of data. In this work, various clustering algorithms are reviewed and it is been analyzed that symmetric and asymmetric type of algorithms are performed well in terms of accuracy and exaction time.

References

  1. Geqi Qi, Yiman Du, Jianping Wu, Ming Xu," Leveraging longitudinal driving behavior data with data mining techniques for driving style analysis", 2015, IET Intell. Transp. Syst., Vol. 9, Iss. 8, pp. 792-801
  2. M. Guder, O. Salor, I. Çadirci, B. Ozkan and E. Altintas," Data Mining Framework for Power Quality Event Characterization of Iron and Steel Plants", 2015, IEEE, 0093-9994
  3. Claudia Plant, Andrew Zherdin, Christian Sorg, Anke Meyer-Baese, and Afra M. Wohlschläger," Mining Interaction Patterns among Brain Regions by Clustering", 2014, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 26, NO. 9
  4. JOHANNES GRABMEIER, ANDREAS RUDOLPH," Techniques of Cluster Algorithms in Data Mining", 2002 Kluwer Academic Publishers, 303-360
  5. P. Berkhin," A Survey of Clustering Data Mining Techniques", 2010, Springer, 3485-34-533
  6. G. Sreenivasulu, S. Viswanadha Raju and N. Sambasiva Rao," Review of Clustering Techniques", 2016, Springer Science+Business Media Singapore
  7. Lamine M. Aouad, Nhien-An Le-Khac, and Tahar M. Kechadi," Lightweight Clustering Technique for Distributed Data Mining Applications", 2007, ICDM, LNAI 4597, pp. 120-134
  8. Murilo Coelho Naldi," Genetic Clustering for Data Mining", 2001, Springer, 35-343-578, pp-343-967
  9. Francesco Gullo," From Patterns in Data to Knowledge Discovery: What Data Mining Can Do", 2015, Francesco Gullo / Physics Procedia 62, 18 - 22
  10. MD. Ezaz Ahmed, Preeti Bansal," Clustering Technique on Search Engine Dataset using Data Mining Tool", 2013, IEEE, 978-0-7695-4941
  11. Mohnish Patel, Prashant Richhariya, Anurag Shrivastava," A Novel Approach for Data Mining Clustering Technique using NeuralGas Algorithm", 2014, IEEE, 978-1-4799-4910
  12. Richa Sharma, Dr. Shailendra Narayan Singh, Dr. Sujata Khatri," Medical Data Mining Using Different Classification and Clustering Techniques: A Critical Survey", 2016, IEEE, 978-1-5090-0210
  13. G. Anuradha, Bidisha Roy," Suggested Techniques for Clustering and Mining of Data Streams", 2014, IEEE, 978-1-4799-2494
  14. Edem Inang Edem, Chafika Benzaidy, Ameer Al-Nemrat and Paul Watters," Analysis of Malware Behaviour: Using data Mining Clustering Techniques to Support Forensics Investigation", 2015, IEEE, 978-1-4799-8825
  15. CHENG-FA TSAI, PO-VI SHE," A NEW EFFICIENT DENSITY-BASED DATA CLUSTERING TECHNIQUE USING CROSS EXPANSION FOR DATA MINING", 2014, IEEE, 978-1-4799-4215

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Gurveer Singh, Dinesh Kumar, " The Efficient Clustering algorithms for Data Mining : A Review" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.609-613, September-October-2017.