期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：3
页码：1216-1219
出版社：TechScience Publications
摘要：In data stream analysis, outlierdetection has many applications as a branch of data miningand gaining more attention. . Data that is different orinconsistent from normal data set are identified by outlierdetection. Unusual data records because of some data errorscan be treated as outliers typically detecting outliers andanalyzing large data sets identifies the problem suchas medical problems, a structural defect, and experimentalerrors. This paper focuses the different methods for detectionof anomalies. In order to handle the problems related tooutlier detection because of uncertain data, outlier detectiontechnique based on the AntiHub term is used.
