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eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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MEDICAL DATA SET ANALYSIS – A ENCHANCED CLUSTERING APPROACH

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 1, pp 102-105,Year 2014

MEDICAL DATA SET ANALYSIS – A ENCHANCED CLUSTERING APPROACH

P.Kalyani

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Received : 27 February 2014; Accepted : 01 March 2014 ; Published : 10 March 2014

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Article No. 10264
Abstract

This Paper is concerned with the ideas behind design, implementation, testing and application of a novel swarm based intelligent system for Medical Data Set analysis. The unique contribution of this paper is in the implementation of a hybrid intelligent system Data Mining technique such as Bacteria Foraging Optimization Algorithm (BFOA) for solving novel practical problems, the detailed description of this technique, and the illustrations of several applications solved by this novel technique. This paper also aims to explore the possibilities of applying this hybrid Intelligent System DM technique to environmental and biological applications. These two fields have attracted a lot of attention recently, which is not only because of the complexity of the problem, but also because of the massive quantities of the data that are available and increasing.

Key Words   
Intelligent system; bacteria foraging optimization; hybrid intelligent system; swam based intelligen
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References
  1. Berkhin, “Survey clustering Data Mining Techniques”, Technical Report, Accrue Software, San Jose, California, 2002.
  2. Ashish Ghosh, Anindya Halder, Megha Kothari and Susmita Ghosh,
  3. “Aggregation pheromone density based data clustering”, Information Sciences, Vol. 178, Issue 13, 1 July 2008, pp. 2816-2831.
  4. Duran and P. Odell, “Cluster Analysis: A Survey”, New York: Springer-Verlag, 1974.
  5. Diego Alejandro Ingaramo, Guillermo Leguizamon and Marcelo Errecalde, “Adaptive clustering with artificial ants”, Journalof Computer Science and Technology, Science Press, Vol. 5, No. 4, 2005.
  6. Fernandes, A.M. Mora, J.J. Merelo, V. Ramos and J.L.J. Laredo,
  7. “KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification”, http://arxiv.org/abs/0803.2695v1, 2008.
  8. Haifang Li, Xia Wen and Hui Jin, “The Clustering Algorithm Research ofImage Emotional Characteristics Based on Ant Colony”, Proceedings of the 2008 International Symposium on Intelligent Information Technology Application Workshops, 2008, pp. 455-458.T. Marler and J.S. Arora, “Survey of multi-objective optimization methods for engineering,” Struct. Multidisc. Optim. 26, pp. 369–395, 2004.
  9. Abraham and V. Ramos, “Web usage mining using artificial ant colony clustering and linear genetic programming”, Proc. Congress on Evolutionary Computation (IEEE Press), Australia, 2003, pp.1384-1391.
  10. Bin and S. Zhongzhi, “ A clustering algorithm based on swarm intelligence”, Proc. of the Int. Conf. on Info-tech. and Info-net, Beijing, China, 2001, pp. 58-66.
  11. Korani W, “ Bacterial Foraging Oriented By ParticleSwarm Optimization Strategy for PID Tuning”, GECOO 2008, 12-16 July, 2008, Atlanta, USA, pp. 1823-1826.
  12. Camazine, J.-L. Deneubourg, N.R. Franks, J.Sneydd, G. Theraulaz and E. Bonabeau, “Self-Organization in Biological Systems”, Princeton University Press, 2001.
  13. Kennedy and R. Eberhart, “Swarm Intelligence”, Morgan Kaufmann
  14. Publishers, Inc., San Francisco, CA, 2001.
  15. Fisher R.A. The use of multiple measurements in taxonomic problems. Ann.Eugenics, 1936,7(2), p.179-188.
  16. Prodip Hore, Lawrence O. Hall, and Dmitry B. Goldgof “Single Pass Fuzzy C Means”, CSEEE, vol.28, 2000.
  17. M. Brej and M. Sonka, “Object localization and border detection criteria design in edge-based image segmentation automated learning from examples”, IEEE Transactions on Medical imaging, vol. 19, pp. 973-985, 2000.
To cite this article

P.Kalyani , " Medical Data Set Analysis – A Enchanced Clustering Approach ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 1, pp 102-105 , 2014

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