An Efficient Algorithm for Mining Association Rules in Large Databases
Summary: Efficient algorithm for mining association rules in large databases; fundamentally different from prior approaches. I/O overhead reduced and CPU overhead lowered (up to 4x CPU, ~10x I/O), enabling scalable performance on large datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |
| 146 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB | 0.00041260875 |
| 1,259 | Dbms Research At A Crossroads: The Vienna Update | 1993 | VLDB | 0.00012996412 |
| 1,432 | Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results | 1994 | SIGMOD | 0.00012000371 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 404 | Mining Generalized Association Rules | 1995 | VLDB | 0.00024159651 |
| 13,831 | Communication-Efficient Distributed Mining of Association Rules | 2001 | SIGMOD | - |
| 12,738 | Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy | 1998 | SIGMOD | 4.1905499e-05 |
| 4,515 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.1157444e-05 |
| 3,870 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB | 6.6763843e-05 |
| 229 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.0003226623 |
| 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 |
| 473 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00022304724 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |