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- W2023586479 abstract "Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data streams have categorical features, and changes induced in the data distribution of these categorical features have not been considered extensively so far. Previous work on change detection focused on detecting changes in the accuracy of the learners, but without considering changes in the data distribution." @default.
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- W2023586479 date "2014-03-24" @default.
- W2023586479 modified "2023-10-18" @default.
- W2023586479 title "Change detection in categorical evolving data streams" @default.
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- W2023586479 doi "https://doi.org/10.1145/2554850.2554864" @default.
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