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 | 0.00083070519 |
| 232 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00032060702 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,870 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB | 6.6763843e-05 |
| 4,515 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.1157444e-05 |
| 5,426 | A New Framework For Itemset Generation | 1998 | PODS | 5.5131484e-05 |
| 404 | Mining Generalized Association Rules | 1995 | VLDB | 0.00024159651 |
| 473 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00022304724 |
| 229 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.0003226623 |
| 4,261 | Online Association Rule Mining | 1999 | SIGMOD | 6.3024528e-05 |
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 117 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00045914132 |
| 546 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00020410312 |