A priori is a classic algorithm for learning association rules. A priori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). The purpose of the A priori Algorithm is to find associations between different sets of data and is to extract useful information from large amounts of data. For example, the information that a
customer who purchases a particular product also tends to buy an associated product at the same time is acquired from the association rule.
Asked In: Many Interviews |