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  • 标题:Comparative study of Data Mining Approaches for Parkinson’s Diseases
  • 本地全文:下载
  • 作者:Hari Ganesh S ; Gracy Annamary S
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:9
  • 页码:3062-3068
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Data mining is the process of finding useful and relevant 3062 information from the data base. The database store the various field of e-business, marketing, retail and medical. The data mining is used for medical and health areas of the most important factors in industrial societies. This paper analyzes the Parkinson's disease accuracy level of different classification algorithms. In this work taken for four different types of classifier names by J48, Naive bayes, Decision table and Random tree. The data set a used from the UCI repository. WEKA tool a used.
  • 关键词:Parkinson's disease; ; Classification; Decision Table; Naive ; Bayesian; J48; Random Tree
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