A Physarum-inspired ant colony optimization for community mining

Liang, Mingxin, Gao, Chao, Li, Xianghua and Zhang, Zili 2017, A Physarum-inspired ant colony optimization for community mining, in PAKDD 2017 : Part I of the Proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Berlin, Germany, pp. 737-749, doi: 10.1007/978-3-319-57454-7_57.

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Title A Physarum-inspired ant colony optimization for community mining
Author(s) Liang, Mingxin
Gao, Chao
Li, Xianghua
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Advances in Knowledge Discovery and Data Mining. Pacific-Asia Conference (21st : 2017 : Jeju, South Korea)
Conference location Jeju, South Korea
Conference dates 2017/05/23 - 2017/05/26
Title of proceedings PAKDD 2017 : Part I of the Proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Editor(s) Kim, Jinho
Shim, Kyuseok
Cao, Longbing
Lee, Jae-Gil
Lin, Xuemin
Moon, Yang-Sae
Publication date 2017
Series Lecture Notes in Artificial Intelligence
Conference series Advances in Knowledge Discovery and Data Mining Pacific-Asia Conference
Start page 737
End page 749
Total pages 13
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) community mining
ant colony algorithm
Physarum
ISBN 9783319574530
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-57454-7_57
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, Springer International
Persistent URL http://hdl.handle.net/10536/DRO/DU:30098038

Document type: Conference Paper
Collection: School of Information Technology
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