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

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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.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/35424
Identification Number https://doi.org/10.1109/ICDE.2013.6544945
Official URL http://ieeexplore.ieee.org/document/6544945/
ISBN 9781467349093
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords outlier detection; anomaly detection; data mining; localised
Citations in Scopus 4 - View on Scopus
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