Rule induction

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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[edit]

Some major rule induction paradigms are:

Algorithms[edit]

Some rule induction algorithms are:

References[edit]

  1. ^ Sahami, Mehran. "Learning classification rules using lattices." Machine learning: ECML-95 (1995): 343-346.