A Survey on Outlier Detection Methods

Rajani S Kadam, Prakash R Devale

Abstract: Outlier detection is the process of finding the data that behave very differently from the normal expected behavior. Outliers may be due to system errors, noise or human intended action. Outlier detection becomes an important task in any application to provide reliable and effective results. Many outlier detection methods are proposed amongst SVDD is most commonly used method. This paper provides a brief survey on the outlier detection methods.

Keywords: Outliers, Outlier detection, PCA, SVM, SVDD

How to Cite?: Rajani S Kadam, Prakash R Devale, "A Survey on Outlier Detection Methods", Volume 4 Issue 8, August 2015, International Journal of Science and Research (IJSR), Pages: 2016-2019, https://www.ijsr.net/getabstract.php?paperid=SUB157860, DOI: https://dx.doi.org/10.21275/SUB157860