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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 8, August 2015
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
Edition: Volume 4 Issue 8, August 2015,
Pages: 2016 - 2019
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Student Project, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
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