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* <B>Example(s):</B> | * <B>Example(s):</B> | ||
** a [[Scientific Knowledge Discovery Task]], for [[empirically validatable knowledge]]. | ** a [[Scientific Knowledge Discovery Task]], for [[empirically validatable knowledge]]. | ||
** [[Knowledge Discovery from Databases]]. | |||
* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
** a [[Knowledge Engineering Task]]. | ** a [[Knowledge Engineering Task]]. | ||
** an [[Exploratory Analysis Task]]. | ** an [[Exploratory Analysis Task]]. | ||
* <B>See:</B> [[Knowledge Search Task]], [[Knowledge Finding Task]]. | * <B>See:</B> [[Knowledge Search Task]], [[Knowledge Finding Task]], [[Data Mining Task]], [[Semantic Processing Task]]. | ||
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==References == | |||
===1998=== | |||
* ([[1998_GlossaryOfTerms|Kohavi & Provost, 1998]]) ⇒ [[Ron Kohavi]], and [[Foster Provost]]. (1998). "[http://ai.stanford.edu/~ronnyk/glossary.html Glossary of Terms]." In: Machine Leanring 30(2-3). | |||
** Knowledge discovery: The non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. This is the definition used in ``Advances in Knowledge Discovery and Data Mining,'' 1996, by Fayyad, Piatetsky-Shapiro, and Smyth. | |||
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