A Grouping of Cancer in Human Health using Clustering Data Mining Technique
H. Lookman Sithic1, R. Uma Rani2

1H.Lookman Sithic, Asst. Professor Department of Computer Applications, Periyar University, Muthayammal College of Arts & Science, Namakkal, India.
2R. UmaRani, Associate Professor, Department of Computer Science, Sri Saradha college for Women, Salem, India.
Manuscript Received on May 08, 2015. | Revised Manuscript Received on May 09, 2015. | Manuscript published on May 20, 2015. | PP: 6-10 | Volume-3 Issue-6, May 2015. | Retrieval Number: F0627053615/2015©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Data mining is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. The techniques can find novel patterns that may assist as enterprise in understanding the business better and in forecasting. Much research is being carried out in applying data mining to a variety of applications in healthcare [1].This article explores data mining techniques in healthcare management. Particularly, it talk about data mining and its various application in areas where people are mostly affected rigorously by cancer in Erode District, Tamil Nadu, India. The people affected by cancer using tobacco, chemical water. This paper identifies the cancer level using clustering algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health venture.
Keywords: Data Mining, Cancer, Clustering Algorithms.