Discovering semantics from multiple correlated time series stream

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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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In volume 7819 of Lecture Notes in Computer Science
Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/28023
DOI https://doi.org/10.1007/978-3-642-37456-2_43
Official URL http://link.springer.com/chapter/10.1007/978-3-642...
ISBN 9783642374555
Funders http://purl.org/au-research/grants/arc/LP100200682
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0804 Data Format
Current > Division/Research > College of Science and Engineering
Keywords data semantics; correlation field-based semantics learning framework; CfSLF; hidden Markov random field; HMRF; multiple correlated time series
Citations in Scopus 2 - View on Scopus
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