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Discovering semantics from multiple correlated time series stream

Qiao, Z, Huang, Guangyan, He, Jing, Zhang, P, Guo, L, Cao, Jing and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2013) Discovering semantics from multiple correlated time series stream. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14 April 2013-17 April 2013, Gold Coast.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9783642374555
Additional Information:

In volume 7819 of Lecture Notes in Computer Science

Uncontrolled Keywords: data semantics; correlation field-based semantics learning framework; CfSLF; hidden Markov random field; HMRF; multiple correlated time series
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0804 Data Format
Faculty/School/Research Centre/Department > College of Science and Engineering
Funders: http://purl.org/au-research/grants/arc/LP100200682
Depositing User: Symplectic Elements
Date Deposited: 02 Jul 2015 03:20
Last Modified: 08 May 2019 04:32
URI: http://vuir.vu.edu.au/id/eprint/28023
DOI: https://doi.org/10.1007/978-3-642-37456-2_43
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Citations in Scopus: 2 - View on Scopus

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