DocumentCode
2208909
Title
Combining one class classification models for avian influenza outbreaks
Author
Zhang, Jie ; Lu, Jie ; Zhang, Guangquan
Author_Institution
Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia
fYear
2011
fDate
11-15 April 2011
Firstpage
190
Lastpage
196
Abstract
The prediction of avian influenza outbreak animal cases is a genuine one class classification issue because the real world outliers are impractical to obtain. In this paper, a new combining one class classification method has been presented and illustrated on the avian influenza outbreak dataset. The presented combining methods outperform the previous combining methods both on the original avian influenza outbreak dataset and dimension reduction one. The new one classification combining model can be adapted to the warning surveillance purpose and proved to be practical on the avian influenza outbreak prediction tasks.
Keywords
alarm systems; diseases; pattern classification; avian influenza outbreak animal cases; one class classification models; warning surveillance; Analytical models; Birds; Data models; Diseases; Influenza; Training; One class classification model; avian influenza; combining model; prediction; warning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Multicriteria Decision-Making (MDCM), 2011 IEEE Symposium on
Conference_Location
Paris
Print_ISBN
978-1-61284-068-0
Type
conf
DOI
10.1109/SMDCM.2011.5949278
Filename
5949278
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