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The Entropy and PCA Based Anomaly Prediction in Data Streams

Hong, D, Zhao, D and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2016) The Entropy and PCA Based Anomaly Prediction in Data Streams. In: 20th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES2016), 05 September 2016-07 September 2016, United Kingdom.

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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: data management; fault prediction; support vector regression; principle component analysis
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Depositing User: Symplectic Elements
Date Deposited: 03 May 2018 01:13
Last Modified: 21 May 2018 01:36
URI: http://vuir.vu.edu.au/id/eprint/36016
DOI: https://doi.org/10.1016/j.procs.2016.08.115
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Citations in Scopus: 7 - View on Scopus

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