FindFrequentItemsets: Calculate frequent itemset with minimal support

In TimToebrock/Rpriori: Implementation of the Apriori Algorithm

Description

This function calculates the frequent itemset with a minimal support value.

Usage

FindFrequentItemsets(dataset, minsupport)

Arguments

dataset	Transactions in an object of class TAMatrix, matrix, sparse matrix, data.frame or transactions.
minsupport	Minimal support value of the frequent itemsets that are calculated.

Value

Object of class FIMatrix containing the frequent items.

Examples

# Calculate the frequent itemsets with minimal support 0.03 
# and confidence 0.4 based on the dataset Groceries
Groceries_Fitems <- FindFrequentItemsets(Itemsets = Groceries, minsupport = 0.03)

# print the frequent itemsets
print(Groceries_Fitems)

# plot the frequent itemsets
plot(Groceries_Fitems)

TimToebrock/Rpriori documentation built on Oct. 18, 2020, 9:41 p.m.