Unsupervised parameter estimation for one-class support vector machines

Ghafoori, Zahra, Rajasegarar, Sutharshan, Erfani, Sarah M., Karunasekera, Shanika and Leckie, Christopher A. 2016, Unsupervised parameter estimation for one-class support vector machines, in PAKDD 2016 : Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 Proceedings, Part II, Springer,, pp. 183-195, doi: 10.1007/978-3-319-31750-2_15.

Attached Files
Name Description MIMEType Size Downloads

Title Unsupervised parameter estimation for one-class support vector machines
Author(s) Ghafoori, Zahra
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Erfani, Sarah M.
Karunasekera, Shanika
Leckie, Christopher A.
Conference name Pacific-Asia Knowledge Discovery and Data Mining. Conference (20th : 2016 : Auckland, New Zealand)
Conference location Auckland, New Zealand
Conference dates 19-22 Apr. 2016
Title of proceedings PAKDD 2016 : Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 Proceedings, Part II
Editor(s) Bailey, James
Khan, Latifur
Washio, Takashi
Dobbie, Gill
Zhexue Huang, Joshua
Wang, Ruili
Publication date 2016
Series Lecture Notes in Artificial Intelligence v.9652
Conference series Pacific-Asia Knowledge Discovery and Data Mining Conference
Start page 183
End page 195
Total pages 13
Publisher Springer
Keyword(s) one-class support vector machine
support vector data description
outlier detection
parameter estimation
Notes This publication is included within Part II of the 20th PAKDD 2016 Pacific-Asia Conference held in Auckland, New Zealand, 19-22 April.
ISBN 9783319317496
9783319317502
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-31750-2_15
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 899999 Information and Communication Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086387

Document type: Conference Paper
Collection: School of Information Technology
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 1 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 201 Abstract Views, 9 File Downloads  -  Detailed Statistics
Created: Thu, 29 Sep 2016, 11:01:57 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.