A Novel Scalable Multi-class ROC for Effective Visualization and Computation Hassan, MR, Ramamohanarao, K, Karmakar, Chandan, Hossain, MM and Bailey, J 2010, A Novel Scalable Multi-class ROC for Effective Visualization and Computation, in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Berlin, Germany, pp. 107-+. Attached Files Name Description MIMEType Size Downloads Title A Novel Scalable Multi-class ROC for Effective Visualization and Computation Author(s) Hassan, MR Ramamohanarao, K Karmakar, Chandan orcid.org/0000-0003-1814-0856 Hossain, MM Bailey, J Conference name 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining Conference location Hyderabad, INDIA Conference dates 2010/06/21 - 2010/06/24 Title of proceedings ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I, PROCEEDINGS Editor(s) Zaki, MJ Yu, JX Ravindran, B Pudi, V Publication date 2010 Series Lecture Notes in Artificial Intelligence Start page 107 End page + Total pages 2 Publisher SPRINGER-VERLAG BERLIN Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Computer Science Multi-class Receiver operating characteristics classifier evaluation cost-function ISBN 9783642136566 ISSN 0302-9743 Language eng Field of Research 08 Information And Computing Sciences HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30075730 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Related Links Link Description Connect to published version 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 Tue, 18 Aug 2015, 15:49:59 EST Wed, 19 Aug 2015, 05:06:46 EST Thu, 20 Aug 2015, 08:40:37 EST Sat, 23 Sep 2017, 06:04:23 EST Sat, 21 Oct 2017, 01:46:00 EST Wed, 16 May 2018, 10:27:22 EST Wed, 16 May 2018, 10:28:50 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 14 times in Scopus Search Google Scholar Access Statistics: 70 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 18 Aug 2015, 15:49:59 EST

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