Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes Nguyen, Thanh- Bing, Nguyen, Vu, Venkatesh, Svetha and Phung, Dinh 2016, Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes. In Cao, Huiping, Li, Jinyan and Wang, Ruili (ed), Trends and applications in knowledge discovery and data mining, Springer, Berlin, Germany, pp.128-140, doi: 10.1007/978-3-319-42996-0_11. Attached Files Name Description MIMEType Size Downloads Title Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes Author(s) Nguyen, Thanh- Bing orcid.org/0000-0003-4527-8826 Nguyen, Vu Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Phung, Dinh orcid.org/0000-0002-9977-8247 Title of book Trends and applications in knowledge discovery and data mining Editor(s) Cao, Huiping Li, Jinyan Wang, Ruili Publication date 2016 Series Lecture Notes in Computer Science Chapter number 11 Total chapters 23 Start page 128 End page 140 Total pages 12 Publisher Springer Place of Publication Berlin, Germany Keyword(s) artificial intelligence data mining and knowledge discovery health informatics ISBN 9783319429953 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-42996-0_11 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2015, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30085932 Document type: Book Chapter Collections: Centre for Pattern Recognition and Data Analytics ERA Postprints 2018 ERA Submission Related Links Link Description Connect to published version 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, 06 Sep 2016, 12:52:20 EST Wed, 07 Sep 2016, 05:02:22 EST Wed, 07 Sep 2016, 06:11:12 EST Wed, 19 Oct 2016, 08:43:39 EST Tue, 08 Nov 2016, 14:13:10 EST Fri, 02 Dec 2016, 15:32:05 EST Tue, 06 Dec 2016, 09:59:50 EST Wed, 11 Jan 2017, 09:47:39 EST Wed, 12 Apr 2017, 11:00:44 EST Mon, 01 May 2017, 09:25:36 EST Wed, 21 Feb 2018, 08:51:32 EST Wed, 21 Feb 2018, 08:52:36 EST Fri, 23 Feb 2018, 09:41:18 EST Fri, 23 Feb 2018, 09:43:37 EST Fri, 23 Feb 2018, 10:30:56 EST Fri, 23 Feb 2018, 10:51:30 EST Mon, 09 Apr 2018, 14:50:36 EST Mon, 09 Apr 2018, 14:51:57 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 279 Abstract Views, 24 File Downloads  -  Detailed Statistics Created: Tue, 06 Sep 2016, 12:52:20 EST

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