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Review Papers | Information Technology | India | Volume 4 Issue 1, January 2015 | Popularity: 6.2 / 10
Literature Survey on Outlier Detection Techniques For Imperfect Data Labels
Priyanka W. Meshram, Prof. Sapna Khapre
Abstract: - A dataset may contain objects that do not comply with the general behaviour or model of data. These data objects are outlier. Outlier detection has attracted increasing attention in machine learning, data mining and an
Keywords: Index Terms- Outlier Detection, Data of uncertainty, Feature Selection
Edition: Volume 4 Issue 1, January 2015
Pages: 2731 - 2735
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Priyanka W. Meshram, Prof. Sapna Khapre, "Literature Survey on Outlier Detection Techniques For Imperfect Data Labels", International Journal of Science and Research (IJSR), Volume 4 Issue 1, January 2015, pp. 2731-2735, https://www.ijsr.net/getabstract.php?paperid=SUB15909, DOI: https://www.doi.org/10.21275/SUB15909