Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection

Aryal, Sunil, Ting, Kai Ming and Haffari, Gholamreza 2016, Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection, in PAISI 2016 : Proceedings of the 11th Pacific Asia Workshop on Intelligence and Security Informatics 2016, Springer, Cham, Switzerland, pp. 73-86, doi: 10.1007/978-3-319-31863-9_6.

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Title Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection
Author(s) Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Ting, Kai Ming
Haffari, Gholamreza
Conference name Pacific Asia Intelligence and Security Informatics. Workshop (11th : 2016 : Auckland, N.Z.)
Conference location Auckland, N.Z.
Conference dates 2016/04/19 - 2016/04/19
Title of proceedings PAISI 2016 : Proceedings of the 11th Pacific Asia Workshop on Intelligence and Security Informatics 2016
Editor(s) Chau, Michael
Wang, G Alan
Chen, Hsinchun
Publication date 2016
Series Pacific Asia Intelligence and Security Informatics Workshop
Start page 73
End page 86
Total pages 14
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Fast anomaly detection
Independence assumption
Big data
ISBN 978-3-319-31863-9
Language eng
DOI 10.1007/978-3-319-31863-9_6
Field of Research 08 Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2016, Springer International Publishing Switzerland
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121094

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