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Discovering topic structures of a temporally evolving document corpus

Beykikhoshk, Adham, Arandjelovic, Ognjen, Phung, Dinh and Venkatesh, Svetha 2018, Discovering topic structures of a temporally evolving document corpus, Knowledge and Information Systems, vol. 55, no. 3, pp. 599-632, doi: 10.1007/s10115-017-1095-4.

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Title Discovering topic structures of a temporally evolving document corpus
Author(s) Beykikhoshk, Adham
Arandjelovic, Ognjen
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name Knowledge and Information Systems
Volume number 55
Issue number 3
Start page 599
End page 632
Total pages 34
Publisher Springer U K
Place of publication London, Eng.
Publication date 2018-06
ISSN 0219-1377
0219-3116
Keyword(s) data mining
nonparametric
Bayesian
autism
ASD
metabolic syndrome (MetS)
Language eng
DOI 10.1007/s10115-017-1095-4
Field of Research 0801 Artificial Intelligence And Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30098031

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