Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 8, August 2015
A Survey on Outlier Detection Methods
Rajani S Kadam, Prakash R Devale
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
How to Cite this Article?
Rajani S Kadam, Prakash R Devale, "A Survey on Outlier Detection Methods", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB157860, Volume 4 Issue 8, August 2015, 2016 - 2019
42 PDF Views | 39 PDF Downloads
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