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Implication (information science)
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Implication (information science) : ウィキペディア英語版
Implication (information science)
In formal concept analysis (FCA) and closure system
attributes are analyzed via their (simultaneous) occurrences (= objects). The implicational analysis
deals with algorithms to find a minimal set of rules,
by which attributes can be inferred from others (implications).
== Definition ==

A pair of sets (U,V) is an ''implication''.
U \subseteq A and V\subseteq A. U is the ''premise''
and V is the ''conclusion''. A stands for attributes.
A set W ''respects'' U\rightarrow V,
if U \nsubseteq W \text V \subseteq W.
〔(Implications by Ganter and Stumme )〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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