期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2502-2505
出版社：TechScience Publications
摘要：Data mining is a concept whose usage has grown peak over the years. Its usage could be found prevalent in a wide variety of applications. Medical science is no exception. With this view in perspective, it has been decided to explore its functioning in the specialization of diabetes. Sufficient amount of study has been made for insulin-dependent and also adult-onset diabetes. However, enough amount of work has not been expended considering both the types in perspective. This work is a step in this direction. Besides, as massive number of criterion play an essential role in its occurrence, less delicate parameters would be pruned out. As most of the criterion does not deal with definite numerical values, linear regression model is not found to be suitable. Most of the working carried out deal with classification aspects. Studies have exhibited that Naïve Bayes algorithm is found to be the most efficient while dealing with classification. Hence, this method has been embodied into the work.
