arlc_get_significant_rules: Get Significant Rules

In arlclustering: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining

Get Significant Rules

Description

This function takes all transactions and a set of non-redundant rules as input, and returns significant rules based on a specified method and adjustment.

Usage

arlc_get_significant_rules(all_trans, nonRR_rules)

Arguments

all_trans	A dataframe containing all transactions.
nonRR_rules	A list of non-redundant rules.

Details

This function filters significant rules from a set of non-redundant rules.

Value

A list containing the total number of significant non-redundant rules and the significant rules themselves.

Examples

library(arlclustering)
# Create a sample transactions dataset
sample_gml_file <- system.file("extdata", "karate.gml", package = "arlclustering")
g <- arlc_get_network_dataset(sample_gml_file, "Karate Club")
trans <- arlc_gen_transactions(g$graph)
supportRange <- seq(0.1, 0.2, by = 0.1)
Conf <- 0.5
params <- arlc_get_apriori_thresholds(trans, supportRange, Conf)
grossRules <- arlc_gen_gross_rules(trans, params$minSupp, params$minConf, 1, params$lenRules)
nonRR_rules <- arlc_get_NonR_rules(grossRules$GrossRules)
NonRRSig_rules <- arlc_get_significant_rules(trans, nonRR_rules$FiltredRules)

arlclustering documentation built on Sept. 11, 2024, 8:07 p.m.