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SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback

Zhang, J, Wang, Hua ORCID: 0000-0002-8465-0996, Tao, X and Sun, L (2013) SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback. In: 29th International Conference on Data Engineering (ICDE 2013), 08 April 2013-12 April 2013, Brisbane.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781467349093
Uncontrolled Keywords: outlier detection; anomaly detection; data mining; localised
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 19 Jan 2018 05:18
Last Modified: 06 Feb 2018 22:28
URI: http://vuir.vu.edu.au/id/eprint/35424
DOI: https://doi.org/10.1109/ICDE.2013.6544945
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Citations in Scopus: 4 - View on Scopus

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