1993 MiningAssociationRules

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Subject Headings: Association Rule Learning Task, Association Rule Learning Algorithm, Frequent Itemset Mining.

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Abstract

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.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1993 MiningAssociationRulesRakesh Agrawal
Tomasz Imieliński
Arun Swami
Mining Association Rules Between Sets of Items in Large DatabasesProceedings of ACM SIGMOD Conferencehttp://www.rakesh.agrawal-family.com/papers/sigmod93assoc.pdf10.1145/170035.1700721993