Mining Frequent color Set Chosen by Customer using Apriori

Apriori is an algorithm for frequent item set mining and association rule learning over transactional database. It proceeds by identifying the frequent individual items in the database and extending them to larger and large item sets long as those item sets appear sufficiently often in the database. The frequent item sets determined by apriori can be used to determine association rules which highlight general trends in the database. This has applications in online shopping analysis the frequent color item sets using apriori algorithm.