A Study on various approaches of attribute selection and heart disease prediction in medical dataset classification

Abstract

Data mining is the process of extraction of valuable information from the dataset using different attributes. In the process of data mining different relationships between attributes have been computed that can be used for various processes of data mining that are classification, clustering and association. Classification is a branch of data mining that can be used for prediction of various classes on the basis of data mining approaches. In the process of classification various rules have been used for extraction of relationships between different attributes available in the dataset. In recent research various approaches have been proposed for classification. Medical dataset classification is an emerging area of research for prediction of various diseases to an individual based on different attributes.