文章基本信息

标题：A Study of Classification Techniques of Data Mining Techniques in Health Related Research
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作者：K Prasanna Jyothi ; Dr R SivaRanjani ; Dr Tusar Kanti Mishra 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：7
页码：13779
DOI：10.15680/IJIRCCE.2017.0507073
出版社：S&S Publications
摘要：Several health related studies used data mining and machine learning techniques for analysis andprediction health risk from patients health records. There are different classification techniques to predict the risk inhealth related studies. Classification techniques in data mining can process large amounts of data. Differentclassification algorithms are there to classify the data in data mining. Several classification algorithms including c 4.5,ID3, k-nearest neighbor, SVM, Naive Bayes, and ANN. In this paper the study of the various classification techniquesis presented.
关键词：c 4.5; ID3; K-Nearest neighbor; SVM; Naive Bayes; and ANN