Performance Analysis of Different Classification Methods in Data Mining for Diabetes Dataset Using WEKA Tool
International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1168--1173 (March 2015)DOI: 10.17762/ijritcc2321-8169.150361
Abstract
Data mining is the process of analyzing data based on different perspectives and summarizing it into useful information. Classification is one of the generally used techniques in medical data mining. The goal here is to discover new patterns to provide meaningful and useful information for the users. Recently data mining techniques are applied to healthcare datasets to explore suitable methods and techniques and to extract useful patterns. This paper includes implementation of different classification methods, measures, analysis and comparison pertaining to diabetes dataset. A detailed performance analysis and comparative study of these methods are done, which can be further used to choose the appropriate algorithm for future analysis for the given dataset.