期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：3
页码：393-398
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Data mining is an information discovery database that is the process of discovers an interest and useful pattern and connection in large volumes of records. It is very helpful in pattern alike through which a huge volume of information can be analysed and offer the knowledgeable result for the benefit of the researchers. Health care is one among the data ware house benefit to care provider, patients, health organizations, researchers and insurers in which data analysis is performed to bring out effective treatments and best practices.In earlier years lacks of analysing the hepatitis diseases in many countries, where the millions of people die for hepatitis disease. Hepatitis means harm to the liver with irritation of the liver cells. Many patients died due to lacking quantity of information that may help in effective and efficient decision-making. Largelyof the people are affected by hepatitis to do that dataset for hepatitis disease with key factors is obtained from various medical repositories. In this paper, the hepatitis disease datasets are analysed by using data mining clustering algorithms are Simple K-Means, Hierarchical and Expectation - maximization algorithm are comparing to find the time , accuracy, precision of each.
