What Is Apriori Algorithm?
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Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It is an example of a special type of algorithm known as the ‘association rule learning’. The fundamental concept behind the Apriori algorithm is that a subset of items can be related to each other if they appear together in transactions more than a certain number of times. This means that if a group of items frequently occur together in transactions, it is likely that they are associated. The algorithm works by first identifying large sets of frequent individual items; from these sets it then identifies associations or rules which connect items together.