Mining Generalized Association Rules
Summary: Mining generalized association rules with item taxonomies; proposes Cumulate and EstMerge to avoid full ancestor expansion, achieving 2–5× speedups (often >100×). Introduces a taxonomy-aware interest measure that prunes 40–60% of rules, reducing redundancy. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 29 of 29 citing papers.
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Showing 3 of 3 cited papers.
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 |
| 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 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,261 | Online Association Rule Mining | 1999 | SIGMOD | 6.3024528e-05 |
| 3,817 | Association Rules over Interval Data | 1997 | SIGMOD | 6.72838e-05 |
| 735 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD | 0.00017417893 |
| 12,738 | Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy | 1998 | SIGMOD | 4.1905499e-05 |
| 602 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00019350521 |
| 229 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.0003226623 |
| 117 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00045914132 |
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 546 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00020410312 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |