A Comparative Study on CN2 Rule and SVM Algorithm for Prediction of Heart Disease Datasets Using Clustering Algorithms |
Author(s): |
| RAMARAJ.M , N.G.M.COLLEGE; Dr.Antony Selvadoss Thanamani, N.G.M.COLLEGE |
Keywords: |
| Data Mining, Heart Disease, Decision tree, SOM, CN2 Rule and cluster |
Abstract |
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In this paper, we discuss diagnosis analysis and identification of heart disease using with data mining techniques. The heart disease is a major cause of morbidity and mortality in modern society; it is extremely important but complicated task that should be performed accurately and efficiently. A huge amount data of leads medical data to the need for powerful data analysis tools are availability on the data mining technique. They have long to been an concerned with applying for statistical and data mining tools and data mining techniques to improve data analysis on large datasets. In this paper, the proposed system are implements and find out the heart disease through as to comparing with this techniques are Decision tree, SOM, CN2 Rule and K-Means Clustering and the prediction of high or low risk of Heart Disease. |
Other Details |
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Paper ID: IJSRDV2I2391 Published in: Volume : 2, Issue : 2 Publication Date: 01/05/2014 Page(s): 971-974 |
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