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Rule induction

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data.

Paradigms
Some major rule induction paradigms are: • Association rule learning algorithms (e.g., Agrawal) • Decision rule algorithms (e.g., Quinlan 1987) • Hypothesis testing algorithms (e.g., RULEX) • Horn clause induction • Version spacesRough set rules • Inductive Logic Programming • Boolean decomposition (Feldman) == Algorithms ==
Algorithms
Some rule induction algorithms are: • Charade • Rulex • ProgolCN2 == References ==
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