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An Effective Hash-Based Algorithm for Mining Association Rules

Summary: Hash-based candidate generation drastically reduces 2-itemset counts, addressing the primary bottleneck in large-itemset mining. Early trimming of the transaction DB shrinks work for later iterations, with simulations showing significant performance gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2799
Venue
SIGMOD
Year
1995
Pagerank
0.00045914132
Overall Rank
117 | 99.19%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
168 Approximate Frequency Counts over Data Streams 2002 VLDB 0.0003915627
182 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00036955562
229 Discovery of Multiple-Level Association Rules from Large Databases 1995 VLDB 0.0003226623
404 Mining Generalized Association Rules 1995 VLDB 0.00024159651
473 Sampling Large Databases for Association Rules 1996 VLDB 0.00022304724
598 Computing Iceberg Queries Efficiently 1998 VLDB 0.00019431661
602 Mining Quantitative Association Rules in Large Relational Tables 1996 SIGMOD 0.00019350521
735 Beyond Market Baskets: Generalizing Association Rules to Correlations 1997 SIGMOD 0.00017417893
829 Efficiently Mining Long Patterns from Databases 1998 SIGMOD 0.00016137512
1,609 Exploratory Mining and Pruning Optimizations of Constrained Association Rules 1998 SIGMOD 0.00011166163
3,446 Traversing Itemset Lattices with Statistical Metric Pruning 2000 PODS 7.0836261e-05
3,627 Cache-conscious Frequent Pattern Mining on a Modern Processor 2005 VLDB 6.900129e-05
3,817 Association Rules over Interval Data 1997 SIGMOD 6.72838e-05
3,870 A New SQL-like Operator for Mining Association Rules 1996 VLDB 6.6763843e-05
4,037 Interactive Analysis of Web-Scale Data 2009 CIDR 6.5076279e-05
4,515 Mining Optimized Association Rules for Numeric Attributes 1996 PODS 6.1157444e-05
4,528 Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases 1998 VLDB 6.1063994e-05
4,692 Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization 1996 SIGMOD 5.987105e-05
4,805 Optimization of Constrained Frequent Set Queries with 2-variable Constraints 1999 SIGMOD 5.9050441e-05
5,418 Efficient Construction of Regression Trees with Range and Region Splitting 1997 VLDB 5.5157712e-05
6,542 A Framework for Measuring Changes in Data Characteristics 1999 PODS 5.0147398e-05
6,773 On the Discovery of Interesting Patterns in Association Rules 1998 VLDB 4.9255238e-05
6,784 Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining 1998 VLDB 4.9216736e-05
8,974 Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases 2016 SIGMOD 4.4148109e-05
12,471 Optimization of Frequent Itemset Mining on Multiple-Core Processor 2007 VLDB 4.1905499e-05
12,698 Mining Frequent Itemsets Using Support Constraints 2000 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 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
27 Efficient and Effective Clustering Methods for Spatial Data Mining 1994 VLDB 0.00080846213
146 Knowledge Discovery in Databases: An Attribute-Oriented Approach 1992 VLDB 0.00041260875
232 An Interval Classifier for Database Mining Applications 1992 VLDB 0.00032060702
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4,169 Scalable Parallel Data Mining for Association Rules 1997 SIGMOD 6.3818994e-05
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473 Sampling Large Databases for Association Rules 1996 VLDB 0.00022304724
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5,426 A New Framework For Itemset Generation 1998 PODS 5.5131484e-05
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
546 An Efficient Algorithm for Mining Association Rules in Large Databases 1995 VLDB 0.00020410312
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