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A Survey on Applications of Data Mining using Clustering Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 2 |
| Year of Publication: 2015 |
| Authors: Neha D., B.M. Vidyavathi |
10.5120/ijca2015905986
|
Neha D., B.M. Vidyavathi . A Survey on Applications of Data Mining using Clustering Techniques. International Journal of Computer Applications. 126, 2 ( September 2015), 7-12. DOI=10.5120/ijca2015905986
Abstract
Data mining is a process that explores and analyses large data sets in order to discover meaningful patterns. Clustering is a main task of exploratory data analysis and data mining applications. Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups (clusters). Clustering has wide applications in the field of medicine, business and marketing, World Wide Web, computer science, social science, educational data mining, climatology and many more. This paper mainly presents an overview of types of clustering techniques and some of the applications of data mining where clustering techniques can be applied. The main goal of clustering is to produce a good and high quality clusters that depends mainly on the similarity measure which has the ability to discover some or all hidden patterns and also make the analysis of data easy
References
- Saurabh Arora, Inderveer Chana ,” A Survey of Clustering Techniques for Big Data Analysis”, 5th International conference –Confluence the Next Generation International Summit (Confluence),IEEE, pp. 59-65, 2014.
- Nisha, Puneet Jai Kumar, “A Survey of Clustering Techniques and Algorithms” Second International Conference on Computing for sustainable Global Development (INDAICom), pp. 304-307, 2015.
- Applications, Cluster analysis: https://en.wikipedia.org/wiki/Cluster_analysis#Applications
- Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood, “Predictive Policing The Role of Crime Forecasting in Law”, ©RAND Corporation, 2013.
- Qusay Bsoul, Juhana Salim*, Lailatul Qadri Zakaria, “ An Intelligent Document Clustering Approach to Detect Crime Patterns”, The 4th International Conference on Electrical Engineering and Informatics, Procedia Technology ,Elsevier Ltd. ,pp. 1181-1187, 2013
- Priyanka Gera, Rajan Vohra, “City Crime Profiling Using Cluster Analysis”, Priyanka Gera et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5, No.4, pp. 5145-5148, 2014.
- Qi Liu, Enhong Chen, Senior Member, IEEE, Hui Xiong, Senior Member, IEEE, Yong Ge, Zhongmou Li, and Xiang Wu,” A Cocktail Approach for Travel Package Recommendation”, IEEE Transactions on Knowledge and Data Engineering, Vol. 26 ,No.2, pp. 278-293, February 2014.
- Q. Liu, Y. Ge, Z. Li, E. Chen, and H. Xiong,”Personalized Travel Package Recommendation”, IEEE 11th International Conference on Data Mining, pp. 407–416, December 2011.
- Moumita Bhattacharya, Deborah Ehrenthal, MD, MPH, Hagit Shatkay,” Identifying Growth-Patterns in Children by Applying Cluster analysis to Electronic Medical Record” ,IEEE International Conference on Bioinformatics and Biomedicine, pp. 348-351,2014.
- Ritika Saxena, “Educational Data Mining: Performance Evaluation of Decision Tree and Clustering Techniques Using WEKA Platform”, International Journal of Computer Science and Business Informatics”, IJCSBI.ORG, Vol. 15, No. 2. March 2015.
- J. James Manoharan, Dr. S. Hari Ganesh, M. Lovelin Ponn Felcia, “Discovering Student’s Academic Performance Based on GPA using k-Means Clustering Algorithm” , IEEE World Congress on Computing and Communication Technologies,2013.
- Ashish Dutt, Saeed Aghabozrgi, Maizatul Akmal Binti Ismail, and Hamidreza Mahroeian, “Clustering Algorithms Applied in Educational Data Mining”, International Journal of Information and Electronics Engineering, Vol. 5, No. 2, pp. 112-116, March 2015.
- Keith Ying, Maiga Chang, Andrew F. Chiarella, Kinshuk, Jia-Sheng Heh, “Clustering Students based on Their Annotations of a Digital Text”, IEEE Fourth International Conference on Technology for Education, pp. 20-25,2012.
- B.Sathya, R.Manavalan, Image segmentation by clustering methods: Performance analysis”, International Journal of Computer Applications, Volume 29, No.11, pp. 27-32, September 2011.
- Himanshu S. Bhatt, Richa Singh, Member, IEEE, and Mayank Vatsa, Member, IEEE, “On Recognizing Faces in Videos Using Clustering-Based Re-Ranking and Fusion”, IEEE Transactions on Information Forensics and Security, VoL 9, no. 7, pp. 1556-6013, July 2014.
- Bashar Aubaidan, Masnizah Mohd and Mohammed Albared, “Comparative Study of k-means and k-means and ++ clustering algorithms on crime domain”, Journal of Computer Science, pp.1197-1206, 2014.
- Parnika Patil1, V. L. Kolhe, “Survey of Travel Package Recommendation System”, International Journal of Science and Research (IJSR), VoL 3, no. 12, pp. 1557-1561, December 2014.
- Juilee Anil Katkar, Trupti Baraskar, “ A Review: Clustering Techniques for Medical Image Segmentation”, International Journal of Advance Foundation and Research in Computer (IJAFRC) Vol 1, no.12, pp. 103-110, December 2014.
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