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• W1567193866 abstract "Handling numerical information is one of the most important research issues for practical applications of first-order learning systems. This paper is concerned with the problem of inducing first-order classification rules from both numeric and symbolic data. We propose a specialization operator that discretizes continuous data during the learning process. The heuristic function used to choose among different discretizations satisfies a property that can be profitably exploited to improve the efficiency of the specialization operator. The operator has been implemented and bested on the document understanding domain." @default.
• W1567193866 created "2016-06-24" @default.
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• W1567193866 date "1997-01-01" @default.
• W1567193866 modified "2023-09-26" @default.
• W1567193866 title "Handling continuous data in top-down induction of first-order rules" @default.
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• W1567193866 doi "https://doi.org/10.1007/3-540-63576-9_93" @default.
• W1567193866 hasPublicationYear "1997" @default.
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