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SIGMOD
1993
ACM

Mining Association Rules between Sets of Items in Large Databases

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Mining Association Rules between Sets of Items in Large Databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an e cient algorithm that generates all signi cant association rules between items in the database. The algorithm incorporates bu er management and novel estimation and pruning techniques. We also present results of applying this algorithm to sales data obtained from a large retailing company, which shows the e ectiveness of the algorithm.
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1993
Where SIGMOD
Authors Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
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