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.

[edit] 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
• Boolean decomposition (Feldman)

[edit] Algorithms

Some rule induction algorithms are:

• Charade
• Rulex

[edit] References

• Quinlan, J. R. (1987). McDermott, John "Generating production rules from decision trees". Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI-87), 304–307.