An Effective Comparison of SVM and CN2Rule Using Heart Dataset A Survey

Abstract: In this paper, we discuss comparison 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 systems are implemented to find out the heart disease as to compare with this algorithm SVM, CN2 Rule and K-Means Clustering the data mining could help in the identification or the prediction of high or low risk of Heart Disease.

Keywords: Unstructured-Network, Position verification, Chinese remainder theorem, CRT-Algorithm, Back-tracking.