Supriya Ghosh (Editor)

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.

Contents

Paradigms

Some major rule induction paradigms are:

  • Association rule algorithms (e.g., Aggrawal)
  • Decision rule algorithms (e.g., Quinlan 1987)
  • Hypothesis testing algorithms (e.g., RULEX)
  • Horn clause induction
  • Version spaces
  • Rough set rules
  • Inductive Logic Programming
  • Boolean decomposition (Feldman)

    • Algorithms

    Some rule induction algorithms are:

  • Charade
  • Rulex
  • Progol
  • CN2

    • References

    Rule induction Wikipedia
    (Text) CC BY-SA


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