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30 March 2000 Pipelining machine learning algorithms for knowledge discovery
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Abstract
A rule-generating algorithm, Incremental Reduced Error Pruning (IREP), has been proposed by Furnkranz and Widmer. A modified IREP algorithm (RIPPERk) may be applied to raw data representing a classification problem. Introduced by Cohen, 1995, RIPPERk generates a set of hypotheses in the form of if-then rules. The resulting solution maybe coarse or compete, covering all outlyers in the classification data set.
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Allan L. Egbert Jr. and Robert Chris Lacher "Pipelining machine learning algorithms for knowledge discovery", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380565
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