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Fast community detection with graph sparsification

Laeuchli, Jesse 2020, Fast community detection with graph sparsification, in PAKDD 2020 : Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Cham, Switzerland, pp. 291-304, doi: 10.1007/978-3-030-47426-3_23.

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Title Fast community detection with graph sparsification
Author(s) Laeuchli, JesseORCID iD for Laeuchli, Jesse orcid.org/0000-0001-9970-9105
Conference name Knowledge Discovery and Data Mining. Conference (24th : 2020 : Singapore)
Conference location Singapore
Conference dates 2020/05/11 - 2020/05/14
Title of proceedings PAKDD 2020 : Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Editor(s) Lauw, Hady W
Chi-Wing Wong, Raymond
Ntoulas, Alexandros
Lim, Ee-Peng
Ng, See-Kiong
Pan, Sinno Jialin
Publication date 2020
Series Knowledge Discovery and Data Mining Conference
Start page 291
End page 304
Total pages 14
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) clustering
graph sparsification
stopping criteria
ISBN 9783030474256
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-47426-3_23
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Free to Read? Yes
Free to Read Start Date 2021-06-01
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137117

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Created: Mon, 18 May 2020, 08:51:42 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.