What Is the Purpose of Apriori Algorithm

Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database.

What are the two principles of Apriori algorithm?

This algorithm uses two steps “join” and “prune” to reduce the search space. It is an iterative approach to discover the most frequent itemsets.

Is Apriori algorithm machine learning?

This algorithm uses a breadth-first search and Hash Tree to calculate the itemset associations efficiently. … It is the iterative process for finding the frequent itemsets from the large dataset.