supp_conf

This function calculates the support and confidence for the given antecedent
and consequent in the dataset instances.

Framework is devoted to mining numerical association rules through the
utilization of nature-inspired algorithms for optimization. Drawing inspiration
from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository
introduces the capability to perform numerical association rule mining in
the R programming language.
Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.

Iztok Jr. Fister

niarules

Numerical Association Rule Mining using Population-Based
Nature-Inspired Algorithms

supp_conf function

<dl><dt>antecedent</dt>
<dd>The antecedent part of the association rule.</dd>
<dt>consequent</dt>
<dd>The consequent part of the association rule.</dd>
<dt>instances</dt>
<dd>A data frame representing instances in the dataset.</dd>
<dt>features</dt>
<dd>A list containing information about features, including type and bounds.</dd></dl>

Arguments

Calculate support and confidence for an association rule. — supp_conf

<dl>

<dt>antecedent</dt>
<dd>The antecedent part of the association rule.</dd>


<dt>consequent</dt>
<dd>The consequent part of the association rule.</dd>


<dt>instances</dt>
<dd>A data frame representing instances in the dataset.</dd>


<dt>features</dt>
<dd>A list containing information about features, including type and bounds.</dd>

</dl>

supp_conf: Calculate support and confidence for an association rule.

Description

Usage

Value

Arguments