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.

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Title Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes
Author(s) Nguyen, Thanh- BingORCID iD for Nguyen, Thanh- Bing orcid.org/0000-0003-4527-8826
Nguyen, Vu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Phung, DinhORCID iD for 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

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