Dual-random ensemble method for multi-label classification of biological data Nasierding, G., Duc, B. V., Lee, S. L. A. and Kouzani, Abbas Z. 2009, Dual-random ensemble method for multi-label classification of biological data, in ISBB 2009 : Proceedings of the 2009 International Symposium on Bioelectronics and Bioinformatics, ISBB, Melbourne, Vic., pp. 49-52. Attached Files Name Description MIMEType Size Downloads kouzani-dualrandom-2009.pdf Published version application/pdf 241.31KB 109 Title Dual-random ensemble method for multi-label classification of biological data Author(s) Nasierding, G. Duc, B. V. Lee, S. L. A. Kouzani, Abbas Z. orcid.org/0000-0002-6292-1214 Conference name Bioelectronics and Bioinformatics. Symposium (2009 : Melbourme, Victoria) Conference location Melbourne, Victoria Conference dates 9-11 Dec. 2009 Title of proceedings ISBB 2009 : Proceedings of the 2009 International Symposium on Bioelectronics and Bioinformatics Editor(s) [Unknown] Publication date 2009 Conference series Bioelectronics and Bioinformatics Symposium Start page 49 End page 52 Total pages 4 Publisher ISBB Place of publication Melbourne, Vic. Summary This paper presents a dual-random ensemble multi-label classification method for classification of multi-label data. The method is formed by integrating and extending the concepts of feature subspace method and random k-label set ensemble multi-label classification method. Experiemental results show that the developed method outperforms the exisiting multi-lable classification methods on three different multi-lable datasets including the biological yeast and genbase datasets. Language eng Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 890402 Film and Video Services (excl. Animation and Computer Generated Imagery) HERDC Research category E1 Full written paper - refereed Copyright notice ©2009, ISBB Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30029219 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology School of Engineering Open Access Collection Related Links Link Description Connect to conference webpage Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Thu, 10 Jun 2010, 13:54:57 EST Thu, 10 Jun 2010, 14:04:44 EST Thu, 10 Jun 2010, 14:07:27 EST Thu, 17 Jun 2010, 14:23:49 EST Fri, 16 Mar 2012, 18:07:47 EST Thu, 12 Sep 2013, 14:40:57 EST Mon, 23 Sep 2013, 10:27:08 EST Fri, 22 Aug 2014, 14:48:18 EST Fri, 06 Feb 2015, 10:36:50 EST Tue, 06 Sep 2016, 15:37:37 EST Tue, 05 Dec 2017, 09:16:11 EST Fri, 07 Sep 2018, 14:59:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 977 Abstract Views, 109 File Downloads  -  Detailed Statistics Created: Thu, 10 Jun 2010, 13:54:56 EST by Leanne Swaneveld