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Rule induction : ウィキペディア英語版 | 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 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)
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Rule induction」の詳細全文を読む
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