期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：7
页码：17278-17281
DOI：10.18535/ijecs/v5i7.17
出版社：IJECS
摘要：Data mining is the procedure of mining knowledge from data. This is extensively studied field for research area, wheremost of the work emphasized over knowledge discovery. Outlier detection is an important task in data mining and it has many realtime applications . In most of the applications data contains unwanted and unrelated data. Finding and removing anomalous data isvery important and there by improve the quality and accuracy. The outliers are pinpoint or group that depends on data andapplications. This paper focus on outlier concept, taxonomy and outlier detection using least square fit
