Redundant rules
Once you have extracted rules using the apriori() algorithm, your job is not yet quite finished. You need to find out redundant rules among the extracted ones and only retain the non-redundant rules. This is crucial given the large number of rules you could have extracted using the apriori() function.
This exercise is part of the course
Market Basket Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Apply the apriori function to the Online retail dataset
rules = apriori(Online_trx,
___ = list(supp = ___, conf = ___,
minlen = 2))
# Inspect the first 5 rules
___(___(rules))