publication . Other literature type . Article . Conference object . 1993

Mining association rules between sets of items in large databases

Rakesh Agrawal; Tomasz Imieliński; Arun Swami;
  • Published: 01 Jun 1993
  • Publisher: Association for Computing Machinery (ACM)
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates all significant association rules between items in the database. The algorithm incorporates buffer 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 effectiveness of the algorithm.
free text keywords: Software, Information Systems
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