Unsupervised mining of long time series based on latent topic model Wang, Jin, Sun, Xiangping, She, Mary F.H., Kouzani, Abbas and Nahavandi, Saeid 2013, Unsupervised mining of long time series based on latent topic model, Neurocomputing, vol. 103, pp. 93-103, doi: 10.1016/j.neucom.2012.09.008. Attached Files Name Description MIMEType Size Downloads Title Unsupervised mining of long time series based on latent topic model Author(s) Wang, Jin Sun, Xiangping She, Mary F.H. orcid.org/0000-0001-8191-0820 Kouzani, Abbas orcid.org/0000-0002-6292-1214 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Neurocomputing Volume number 103 Start page 93 End page 103 Total pages 11 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2013-03-01 ISSN 0925-2312 1872-8286 Keyword(s) ECG signals bag-of-patterns unsupervised learning PLSA LDA Language eng DOI 10.1016/j.neucom.2012.09.008 Field of Research 109999 Technology not elsewhere classified Socio Economic Objective 970110 Expanding Knowledge in Technology HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30050987 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) School of Engineering Institute for Frontier Materials 2018 ERA Submission GTP Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 05 Mar 2013, 15:17:11 EST Tue, 05 Mar 2013, 15:21:06 EST Tue, 05 Mar 2013, 15:22:14 EST Fri, 13 Sep 2013, 11:35:16 EST Tue, 17 Dec 2013, 12:52:22 EST Thu, 19 Dec 2013, 09:47:56 EST Fri, 13 Jun 2014, 16:52:47 EST Wed, 27 Aug 2014, 23:22:02 EST Fri, 09 Feb 2018, 14:15:56 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 16 times in Scopus Search Google Scholar Access Statistics: 758 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Tue, 05 Mar 2013, 15:17:11 EST

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