Exceptional Object Analysis for Finding Rare Environmental Events from water quality datasets

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He, Jing, Zhang, Yanchun and Huang, Guangyan (2012) Exceptional Object Analysis for Finding Rare Environmental Events from water quality datasets. Neurocomputing, 92 (1). pp. 69-77. ISSN 0925-2312

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Additional Information

This work was partially supported by an Australian Research Council (ARC) Linkage Project (Real-time and Self- Adaptive Stream Data Analyser for Intensive Care Management)

Item type Article
URI https://vuir.vu.edu.au/id/eprint/22123
DOI https://doi.org/10.1016/j.neucom.2011.08.036
Official URL http://www.sciencedirect.com/science/article/pii/S...
Funders http://purl.org/au-research/grants/arc/LP100200682
Subjects Historical > FOR Classification > 0502 Environmental Science and Management
Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords ResPubID25438, exceptional object analysis, EOA, clustering, anomaly detection, rare environmental event, support vector machine, SVM
Citations in Scopus 1 - View on Scopus
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