Energy-based anomaly detection for mixed data

Do, Kien, Tran, Truyen and Venkatesh, Svetha 2018, Energy-based anomaly detection for mixed data, Knowledge and information systems, vol. 57, no. 2, pp. 413-435, doi: 10.1007/s10115-018-1168-z.

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Title Energy-based anomaly detection for mixed data
Author(s) Do, Kien
Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name Knowledge and information systems
Volume number 57
Issue number 2
Start page 413
End page 435
Total pages 23
Publisher Springer
Place of publication London, Eng.
Publication date 2018-11
ISSN 0219-1377
0219-3116
Keyword(s) mixed data
mixed-variate restricted Boltzmann machine
deep belief net
multilevel anomaly detection
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science
OUTLIER DETECTION APPROACH
ATTRIBUTE DATA
NETWORKS
Language eng
DOI 10.1007/s10115-018-1168-z
Field of Research 0801 Artificial Intelligence And Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Springer-Verlag London Ltd., part of Springer Nature
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110367

Document type: Journal Article
Collection: Centre for Pattern Recognition and Data Analytics
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