期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：2235-2237
出版社：TechScience Publications
摘要：The project titled “Data Analysis and Prediction of Hepatitis Using Support Vector Machine (SVM)” is used for monitoring and predicting the Hepatitis level of the patients. Here we are using a machine based technology called Support Vector Machine (SVM). But the drawback is, we can’t assure all the available and new data’s are correct and related with each other. So, to find the hidden relationship’s, removal of trivial data and noise avoidance feature before designating it, For all the mentioned process, we are using a method name called Wrapper method. It’s mainly used to remove all the non-essential records and to establish the finite and accurate result. Our ultimate aim is to increase the accuracy level. In this paper we are using Rapid Miner as our tool. It is a Data Mining tool, which helps us to collect all the prior information from the patient’s with their current Hepatitis level
关键词：Hepatitis; Support Vector Machine (SVM);Wrapper Method; WEKA; Rapid Miner
