文章基本信息

标题：Effect of WEKA Filters on the NavieBayes Data Mining Algorithm
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作者：K.Srilakshmi ; N. Siva Prasad ; D. Mukesh 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
期号：ICCSTAR
页码：53
出版社：S&S Publications
摘要：Data mining is the process of selecting, exploring and modeling a large database in order to discover modeland pattern that are unknown. Enormous gathered data in Health care Information society are scattered with differentarchive systems which are not connected with one another. This unorganized data leads to delay in monitoring, improperplanning, defocus the analysis which leads to inaccuracy in decision making. The purpose of this study is to exploreSupervised and Non Supervised WEKA filters on the data mining algorithm NavieBayes which is used for classification thedata sets of Arrhythmia and Parkinson’s diseases. This in turn helps in increasing the performance accuracy of the classifierused for knowledge discovery. Both the Datasets were taken from UCI Repository.
关键词：Filters; Parkinson’s Data; Arrhythmia Data; NavieBayes; Performance Matrices