The Apriori algorithm is used for mining frequent itemsets and devising association rules from a transactional database. The parameters “support” and “confidence” are used. Support refers to items' frequency of occurrence; confidence is a conditional probability.

What is the use of Apriori algorithm?

Apriori algorithm is a classical algorithm in data mining. It is used for mining frequent itemsets and relevant association rules. It is devised to operate on a database containing a lot of transactions, for instance, items brought by customers in a store.

What are the limitations of Apriori algorithm?

LIMITATIONS OF APRIORI ALGORITHM

The main limitation is costly wasting of time to hold a vast number of candidate sets with much frequent itemsets, low minimum support or large itemsets.