期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 1)
出版社：Ayushmaan Technologies
摘要：The healthcare industry is one of the most important industries in the world. In this industry having the large amounts of healthcare data .This data is used for the many purposes. In this industry the heart disease is most challenging problem. The health care industry is having the many data related to the human health. In this paper proposes the performance of clustering and classification algorithm using heart disease data. We evaluating the performance of classifiers of Bayes (Na.ve Bayes, Na.ve Bayes updateable), functions (SMO), Lazy (IB1, IBK), Meta Multi BoostAB, Multiclass Classifier), Rule(Decision Table), trees(NB Tree) and the clustering algorithms of EM, Cobweb, Farthest First, Make Density Based Clusters, Simple K-Means algorithms. The performance of classification will be calculated by using the cross validation test mode and the performance of clusters will be calculated using the mode of classes to clusters evaluation. In the final result shows the high performance algorithms for heart disease data.
关键词：Data mining; Classification; Clustering; NB Tree; K-means;SOA
