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Reseach Article

A Survey on Clustering Methods in Data Mining

by Bhagyashree Pathak, Niranjan Lal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 159 - Number 2
Year of Publication: 2017
Authors: Bhagyashree Pathak, Niranjan Lal
10.5120/ijca2017912747

Bhagyashree Pathak, Niranjan Lal . A Survey on Clustering Methods in Data Mining. International Journal of Computer Applications. 159, 2 ( Feb 2017), 6-11. DOI=10.5120/ijca2017912747

@article{ 10.5120/ijca2017912747,
author = { Bhagyashree Pathak, Niranjan Lal },
title = { A Survey on Clustering Methods in Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 159 },
number = { 2 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume159/number2/26971-2017912747/ },
doi = { 10.5120/ijca2017912747 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:04:38.020577+05:30
%A Bhagyashree Pathak
%A Niranjan Lal
%T A Survey on Clustering Methods in Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 159
%N 2
%P 6-11
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With increasing amount of data in information industry, there may be an immense amount from claiming information accessible in the majority of the business data. This information will be of no utilization until it is changed over under suitable data. It found important to examine this immense amount of data and withdrawal meaningful knowledge from it. Data mining is an important methodology in withdrawal of meaningful knowledge from large cluster of data. Clustering is included in the tasks of data mining. Clustering is one of the task in which making a group of physical objects into classes of similar objects. In this review paper, we give a study of various clustering methods in data mining for information retrieval and other purposes. We will describe fundamental study of clustering and will analyze each methodology by doing comparative study in table format and examine the clustering algorithms for heterogeneous data.

References
  1. Chuan Shi, Member, IEEE, Yitong Li, Jiawei Zhang, Yizhou Sun, Member, IEEE, and Philip S. Yu, Fellow, IEEE “A Survey of Heterogeneous Information Network Analysis” , IEEE transactions on knowledge and data engineering.
  2. Yizhou Sun, Jiawei Han, Xifeng Yan and Philip S. Yu,“Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach” 38th International Conference, August 27th - 31st 2012, Vol. 5, No. 12
  3. Min Wei, Tommy W. S. Chow and Rosa H. M. Chan, “Clustering Heterogeneous Data with K-means by Mutual Information-Based Unsupervised Feature Transformation” Entropy 2015, 17, 1535-1548.
  4. Y. Sun and J. Han, “Mining heterogeneous information networks: a structural analysis approach,” SIGKDD Explorations, vol. 14, no. 2, pp. 20–28, 2012.
  5. Y. Sun and J. Han, “Mining Heterogeneous Information Networks: Principles and Methodologies”. Morgan & Claypool Publishers, 2012.
  6. Y. Sun and J. Han, “Meta-path-based search and mining in heterogeneous information networks,” Tsinghua Science and Technology, vol. 18, no. 4, pp. 329–338, 2013.
  7. Amin Babazadeh Sangar, Seyyed Reza Khaze and Laya Ebrahimi, “participation anticipating in elections Using data mining methods”, International Journal on Cybernetics & Informatics, Vol.2, No.2, April 2013.
  8. Tipawan Silwattananusarn and Dr. Kulthida Tuamsuk, ―Data Mining and Its Applications for Knowledge Management : A Literature Review from 2007 to 2012‖, International Journal of Data Mining & Knowledge Management Process, Vol.2, No.5, 2012.
  9. Sushmita Mitra, Sankar Pal, and Pabitra Mitra, ”Data Mining in Soft Computing Framework :A Survey”, IEEE transactions on neural networks, vol. 13, no. 1, 2002.
  10. Sumit Vashishta, Dr. Yogendra Kumar Jain, “Efficient Retrieval of Text for Biomedical Domain using Data Mining Algorithm”, International Journal of Advanced Computer Science and Applications, Vol. 2, No. 4, 2011.
  11. Osama abuabbas, “Comparision between data clustering algorithms”, International arab journal of information technology, vol. 5, No. 3, july 2008.
  12. Richard J. Hathaway, and James C. Bezdek, “ Fuzzy c-Means Clustering of Incomplete Data”, IEEE transactions on systems, man, and cybernetics—part b: cybernetics, vol. 31, no. 5, 2001.
  13. Sankar K. Pal, Varun Talwar, and Pabitra Mitra, “Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions”, IEEE transactions on neural networks, vol. 13, no. 5,2002.
  14. Niranjan Lal, Monika Kalra “Data mining of heterogeneous data with research challenges” IEEE, Colossal Data Analysis and Networking (CDAN), Symposium on 18-19 March 2016.
  15. Niranjan Lal , Samimul Qamar , Savita Shiwani “Search Ranking for Heterogeneous Data over Dataspace” Indian Journal of Science and Technology, Vol 9(36) , September 2016.
  16. Bhagyashree Pathak, Niranjan Lal “mining of unstructured data with clustering approach”, international journal of engineering reasearch and management Technology, volume 3, issue-6, november-2016.
Index Terms

Computer Science
Information Sciences

Keywords

Data mining Clustering Clustering methods.