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Comparative evaluation of multi-label classification methods Nasierding, Gulisong and Kouzani, Abbas Z. 2012, Comparative evaluation of multi-label classification methods, in FSKD 2012 : Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, IEEE, Piscataway, N.J., pp. 679-683. Attached Files Name Description MIMEType Size Downloads Title Comparative evaluation of multi-label classification methods Author(s) Nasierding, Gulisong Kouzani, Abbas Z. Conference name Fuzzy Systems and Knowledge Discovery. Conference (9th : 2012 : Chongqing, China) Conference location Chongqing, China Conference dates 29-31 May. 2012 Title of proceedings FSKD 2012 : Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery Editor(s) [Unknown] Publication date 2012 Conference series Fuzzy Systems and Knowledge Discovery Conference Start page 679 End page 683 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) algorithm comparative evaluation evaluation metrics multi-label classification multi-label data Summary This paper presents a comparative evaluation of popular multi-label classification methods on several multi-label problems from different domains. The methods include multi-label k-nearest neighbor, binary relevance, label power set, random k-label set ensemble learning, calibrated label ranking, hierarchy of multi-label classifiers and triple random ensemble multi-label classification algorithms. These multi-label learning algorithms are evaluated using several widely used MLC evaluation metrics. The evaluation results show that for each multi-label classification problem a particular MLC method can be recommended. The multi-label evaluation datasets used in this study are related to scene images, multimedia video frames, diagnostic medical report, email messages, emotional music data, biological genes and multi-structural proteins categorization. ISBN 9781467300247 9781467300254 9781467300223 Language eng Field of Research 090609 Signal Processing Socio Economic Objective 920203 Diagnostic Methods HERDC Research category E1 Full written paper - refereed Copyright notice ©2012, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30051764 Document type: Conference Paper Collection: School of Engineering Related Links Link Description Connect to published version (restricted access) 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. Versions Version Filter Type Thu, 04 Apr 2013, 12:36:00 EST Thu, 04 Apr 2013, 12:45:19 EST Mon, 08 Apr 2013, 08:54:50 EST Mon, 22 Apr 2013, 15:49:32 EST Tue, 23 Apr 2013, 09:02:45 EST Fri, 09 Aug 2013, 12:49:03 EST Mon, 12 Aug 2013, 09:42:50 EST Thu, 12 Sep 2013, 15:02:22 EST Filtered Full Access Statistics: 33 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 04 Apr 2013, 12:36:00 EST

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