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

He, Jing and 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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Item Type: Article
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)

Uncontrolled Keywords: ResPubID25438, exceptional object analysis, EOA, clustering, anomaly detection, rare environmental event, support vector machine, SVM
Subjects: FOR Classification > 0502 Environmental Science and Management
FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
Funders: http://purl.org/au-research/grants/arc/LP100200682
Depositing User: Yimin Zeng
Date Deposited: 10 Nov 2013 03:41
Last Modified: 05 Mar 2018 05:22
URI: http://vuir.vu.edu.au/id/eprint/22123
DOI: 10.1016/j.neucom.2011.08.036
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Citations in Scopus: 0 - View on Scopus

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