Literature Survey on Outlier Detection Techniques For Imperfect Data Labels
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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

- 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), https://www.ijsr.net/search_index_results_paperid.php?id=SUB15909, Volume 4 Issue 1, January 2015, 2731 - 2735

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