Improving iForest with relative mass

Aryal, Sunil, Ting, Kai Ming, Wells, Jonathan R and Washio, Takashi 2014, Improving iForest with relative mass, in PAKDD 2014 : Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer International Publishing, Cham, Switzerland, pp. 510-521, doi: 10.1007/978-3-319-06605-9_42.

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Title Improving iForest with relative mass
Author(s) Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Ting, Kai Ming
Wells, Jonathan R
Washio, Takashi
Conference name Knowledge Discovery and Data Mining. Conference (18th : 2014 : Tainan, Taiwan)
Conference location Tainan, Taiwan
Conference dates 2014/05/13 - 2014/05/16
Title of proceedings PAKDD 2014 : Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Editor(s) Tseng, Vincent S
Ho, Tu Bao
Zhou, Zhi-Hua
Chen, Arbee LP
Kao, Hung-Yu
Publication date 2014
Series Knowledge Discovery and Data Mining Conference
Start page 510
End page 521
Total pages 12
Publisher Springer International Publishing
Place of publication Cham, Switzerland
Keyword(s) Relative mass
iForest
ReFeat
anomaly detection
ISBN 978-3-319-06605-9
Language eng
DOI 10.1007/978-3-319-06605-9_42
Field of Research 08 Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2014, Springer International Publishing Switzerland
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119614

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