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 | 10.1016/j.neucom.2011.08.036 (external link) |
| Official URL | http://www.sciencedirect.com/science/article/pii/S... (external link) |
| Funders | http://purl.org/au-research/grants/arc/LP100200682 (external link) |
| 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 (external link) |
| Download/View statistics | View download statistics for this item |
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