Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection
نویسندگان
چکیده
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 models, we delve into the one class avian influenza data-set, divide it into sub-classes by domain knowledge, train the subclass classifiers and unify the result of each classifier. The proposed joint method solves the one class classification and feature 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 data-set.
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ورودعنوان ژورنال:
- International Journal of Computational Intelligence and Applications
دوره 10 شماره
صفحات -
تاریخ انتشار 2011