Mining Association Rules between Sets of Items in Large Databases
Summary: Efficient algorithm to mine all significant association rules among itemsets in transaction databases. Introduces buffer management and novel estimation/pruning techniques; evaluation on a large retailer dataset shows scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rakesh Agrawal
- 2. Tomasz Imielinski
- 3. Arun Swami
Incoming Citations (Sorted by Pagerank)
Showing 15 of 115 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 25 | Dependency Inference (Extended Abstract) | 1987 | VLDB | 0.00083101742 |
| 230 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00032217064 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,871 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB | 6.6794637e-05 |
| 4,218 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.3511866e-05 |
| 5,565 | A New Framework For Itemset Generation | 1998 | PODS | 5.4318211e-05 |
| 403 | Mining Generalized Association Rules | 1995 | VLDB | 0.00024148455 |
| 473 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.0002233798 |
| 227 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00032284058 |
| 4,258 | Online Association Rule Mining | 1999 | SIGMOD | 6.3148619e-05 |
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 117 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00045896865 |
| 547 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00020420717 |