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- W1499682536 abstract "This paper proposes a modification in rule induction algorithms aimed at improving the interpretability of the discovered rules. This modification is proposed in the context of sparse bioinformatics data sets where the presence of a feature is much less common than its absence, so that rule conditions with positive values of the feature tend to be more informative than rule conditions with negative values of that feature. The proposed modification consists of inducing only rules having positive values of the features, rather than rules using both positive and negative values of the features." @default.
- W1499682536 created "2016-06-24" @default.
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- W1499682536 date "2007-01-01" @default.
- W1499682536 modified "2023-10-16" @default.
- W1499682536 title "Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets" @default.
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- W1499682536 doi "https://doi.org/10.1007/978-1-84628-663-6_27" @default.
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