apriori-class

This class contains the classification model obtained by the APRIORI association rules method.

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

apriori-class function

<dl>
<dt><code>rules</code></dt>
<dd>The set of rules obtained by APRIORI.</dd></dl>
<dt><code>transactions</code></dt>
<dd>The training set as a <code>transaction</code> object.</dd>
<dt><code>train</code></dt>
<dd>The training set (description). A <code>matrix</code> or <code>data.frame</code>.</dd>
<dt><code>labels</code></dt>
<dd>Class labels of the training set. Either a <code>factor</code> or an integer <code>vector</code>.</dd>
<dt><code>supp</code></dt>
<dd>The minimal support of an item set (numeric value).</dd>
<dt><code>conf</code></dt>
<dd>The minimal confidence of an item set (numeric value).</dd>

Slots

APRIORI classification model — apriori-class

<dl>
<dt><code>rules</code></dt>
<dd>The set of rules obtained by APRIORI.</dd>


<dt><code>transactions</code></dt>
<dd>The training set as a <code>transaction</code> object.</dd>


<dt><code>train</code></dt>
<dd>The training set (description). A <code>matrix</code> or <code>data.frame</code>.</dd>


<dt><code>labels</code></dt>
<dd>Class labels of the training set. Either a <code>factor</code> or an integer <code>vector</code>.</dd>


<dt><code>supp</code></dt>
<dd>The minimal support of an item set (numeric value).</dd>


<dt><code>conf</code></dt>
<dd>The minimal confidence of an item set (numeric value).</dd>


</dl>

apriori-class: APRIORI classification model

Description

Arguments

Slots

See Also