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- W2186540252 abstract "Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms are designed for finding association rules in data having no transactions , or having no timestamps (DNA sequencing). Each transaction is seen as a set of items (an item set). Given a threshold , the Apriori algorithm identifies the item sets which are subsets of at least transactions in the database. Apriori uses a bottom up approach, where frequent subsets are extended one item at a time (a step known as candidate generation), and groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found." @default.
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- W2186540252 date "2014-01-01" @default.
- W2186540252 modified "2023-09-23" @default.
- W2186540252 title "Apriori - A Big Data Analysis - A Review" @default.
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