International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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Review Papers | Information Technology | India | Volume 4 Issue 1, January 2015


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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How to Cite this Article?

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/get_abstract.php?paper_id=SUB15909



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