Conference paper
A Linear Method for Deviation Detection in Large Databases
Andreas Arning, Rakesh Agrawal, et al.
KDD 1996
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. © 1993, ACM. All rights reserved.
Andreas Arning, Rakesh Agrawal, et al.
KDD 1996
Rakesh Agrawal, Linda G. DeMichiel
Information Systems
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ICDE 2003
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VLDB 1997