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- W2084344560 abstract "This paper proposes a new framework for incremental learning based on accuracy and coverage. Classified addition of example into four cases, two inequalities for accuracy and coverage are obtained. The proposed method classifies a set of formulae into three layers: rule layer, subrule layer and non-rule layer by using the inequalities obtained. Then, subrule layer plays a central role in updating rules." @default.
- W2084344560 created "2016-06-24" @default.
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- W2084344560 date "2011-11-01" @default.
- W2084344560 modified "2023-10-16" @default.
- W2084344560 title "A new framework for incremental rule induction based on rough sets" @default.
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- W2084344560 doi "https://doi.org/10.1109/grc.2011.6122679" @default.
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