A context-aware approach for handling concept drift in classification
Adapting classification models to changes is one of the main challenges associated with learning from data in dynamic environments. In particular, the description of the target concept is not static and may change over time under the influence of varying environmental conditions (i.e. varying contex...
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Lancaster University
2018
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739763 |