Comparative study of Data Mining Approaches for prediction Heart Diseases

Data mining is the process of finding useful and relevant information from the databases. There are several types of data mining techniques are available. Association Rule, Classification, Neural Networks, Clusteringare some of the most important data mining techniques. Data mining process may take important role in Health care Industries. Most commonly the data mining process is used in health care industries for the process of prediction of diseases. This paper analysis the Heart Disease prediction approaches using classification technique. Here we are using three different kinds of classifiers named Nave Bayes, Decision Table The data set which is used here is taken from the UCI repository.Weka tool is used.