Cluster Based MapReduce Technique for Predicting Heart Disease -: A Modelling Approach

Abstract

Classification is the process of grouping the data elements with the class labels. It is the supervised learning technique. It is also the process of finding the model that describes and distinguishes data classes and its values. MapReduce provides a programming paradigm for performing distributed computation on computer clusters. In a MapRe-duce system such as hadoop, the user program forks a Master controller process and a series of Map tasks  and Reduce tasks .This paper describes the prediction system for heart disease based on  the MapReduce method with Relief feature selection and semi naive Bayes Classification Algorithms.