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

Download
Full text for this resource is not available from the Research Repository.
Export

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.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/35424
DOI 10.1109/ICDE.2013.6544945
Official URL http://ieeexplore.ieee.org/document/6544945/
ISBN 9781467349093
Subjects Historical > 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 5 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)