Fast Community Detection with Graph Sparsification

Laeuchli, Jesse 2020, Fast Community Detection with Graph Sparsification, in PAKDD 2020 : Advances in Knowledge Discovery and Data Mining 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Springer, Cham, Switzerland, pp. 291-304, doi: 10.1007/978-3-030-47426-3.

Attached Files
Name Description MIMEType Size Downloads

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 11-14 May 2020
Title of proceedings PAKDD 2020 : Advances in Knowledge Discovery and Data Mining 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings
Editor(s) Lauw, H.
Wong, R.
Ntoulas, A.
Lim, E-P.
Ng, S-K.
Pan, S.
Publication date 2020
Series Lecture Notes in Computer Science; 12084
Start page 291
End page 304
Total pages 14
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Clustering
Graph sparsification
Stopping criteria
CORE A
ISBN 9783030474256
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-47426-3
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137117

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 7 File Downloads  -  Detailed Statistics
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.