Joint Sub-classifiers One Class Classification Model For Avian Influenza Outbreak Detection

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dc.contributor.author Zhang, Jie en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Zhang, Guangquan en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-10-12T03:33:46Z
dc.date.available 2012-10-12T03:33:46Z
dc.date.issued 2011 en_US
dc.identifier 2011003506 en_US
dc.identifier.citation Zhang Jie, Lu Jie, and Zhang Guangquan 2011, 'Joint Sub-classifiers One Class Classification Model For Avian Influenza Outbreak Detection', Imperial College Press, vol. 10, no. 4, pp. 425-443. en_US
dc.identifier.issn 1469-0268 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/18280
dc.description.abstract H5N1 avian influenza outbreak detection is a significant issue for early warning of epidemics. This paper proposes domain knowledge-based joint one class classification model for avian influenza outbreak. Instead of focusing on manipulations of the one class classification model, we delve into the one class avian influenza dataset, divide it into subclasses by domain knowledge, train the sub-class classifiers and unify the result of each classifier. The proposed joint method solves the one class classification and features selection problems together. The experiment results demonstrate that the proposed joint model definitely outperforms the normal one class classification model on the animal avian influenza dataset. en_US
dc.language en_US
dc.publisher Imperial College Press en_US
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon http://dx.doi.org/10.1142/S1469026811003173 en_US
dc.rights Electronic version of an article published as International Journal of Computational Intelligence and Applications Vol. 10, No. 4 (2011) 425–443 http://dx.doi.org/10.1142/S1469026811003173 © [copyright World Scientific Publishing Company] http://www.worldscientific.com/worldscinet/ijcia en_US
dc.title Joint Sub-classifiers One Class Classification Model For Avian Influenza Outbreak Detection en_US
dc.parent International Journal of Computational Intelligence and Applications en_US
dc.journal.volume 10 en_US
dc.journal.number 4 en_US
dc.publocation United Kingdom en_US
dc.identifier.startpage 425 en_US
dc.identifier.endpage 443 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 105370 en_US
dc.personcode 001038 en_US
dc.personcode 020014 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords avian influenza; joint model; One class classification; outbreak detection en_US
dc.staffid en_US
dc.staffid 020014 en_US


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