Data Mining Algorithm: Difference between revisions

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** It can range from being a [[Data Understanding Algorithm]] to being a [[Predictive Modeling Algorithm]].
** It can range from being a [[Data Understanding Algorithm]] to being a [[Predictive Modeling Algorithm]].
** It can range from being an [[IID Data Mining Algorithm]] to being a [[Non-IID Data Mining Algorithm]] (such as a [[temporal analysis algorithm]] or a [[spatial analysis algorithm]]).
** It can range from being an [[IID Data Mining Algorithm]] to being a [[Non-IID Data Mining Algorithm]] (such as a [[temporal analysis algorithm]] or a [[spatial analysis algorithm]]).
* <B>Example(s):</B>  
* <B>Example(s):</B>
** A [[Supervised Human-Readable Model-based Classification Algorithm]], such as [[C4.5 Algorithm|C4.5]].
** A [[Supervised Human-Readable Model-based Classification Algorithm]], such as [[C4.5 Algorithm|C4.5]].
** An [[Association Rule Mining Algorithm]], such as [[Apriori Algorithm|Apriori]].
** An [[Association Rule Mining Algorithm]], such as [[Apriori Algorithm|Apriori]].

Latest revision as of 02:42, 27 March 2024

A Data Mining Algorithm is a data analysis algorithm that can be followed by a data mining system (to solve a data mining task).



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