January 2017 Issue Vol.7 No.1
Assistant Professor,Department of Computer Science,Government Arts College, Coimbatore,Tamil Nadu, India
M.Phil Research Scholar,Department of Computer Science,Government Arts College, Coimbatore,Tamil Nadu, India
Abstract: This paper aimed at study and analyzing the machine learning algorithms and finding out most appropriate algorithm for medical data classification. In this study, designed a classification system using Neural Network and Support Vector Machine for medical data classification with various numbers of attributes and instances. It includes two kinds of classification experiments namely diseased and non-diseased data distribution from the Cleveland heart disease data set and class distribution of benign and malignant from the Breast Cancer Wisconsin (Original) Data Set. The experimental outcomes positively demonstrate that the Neural Network classifier is effective in undertaking medical data classification tasks which are concluded in the final chapter.
Keywords:Data Mining, Frequency Item Set, Apriori.