• 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