Mining Association Rules between Sets of Items in Large Databases

  title={Mining Association Rules between Sets of Items in Large Databases},
  author={Rakesh Agrawal and Tomasz Imielinski and Arun N. Swami},
  journal={ACM SIGMOD Digital Review},
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. 
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 15,006 citations. REVIEW CITATIONS

2 Figures & Tables



Citations per Year

15,007 Citations

Semantic Scholar estimates that this publication has 15,007 citations based on the available data.

See our FAQ for additional information.