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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)

Paper ID
8289
Venue
VLDB
Year
1995
Pagerank
0.00020410312
Overall Rank
546 | 96.21%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 24 of 24 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
473 Sampling Large Databases for Association Rules 1996 VLDB 0.00022304724
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
3,627 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
4,169 Scalable Parallel Data Mining for Association Rules 1997 SIGMOD 6.3818994e-05
4,261 Online Association Rule Mining 1999 SIGMOD 6.3024528e-05
5,492 rho-uncertainty: Inference-Proof Transaction Anonymization 2010 VLDB 5.4777688e-05
6,080 Pigeonring: A Principle for Faster Thresholded Similarity Search 2019 VLDB 5.219249e-05
6,131 Data Mining with the SAP NetWeaver BI Accelerator 2006 VLDB 5.1930075e-05
6,415 An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems 2016 PODS 5.064828e-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
9,062 Feasible Itemset Distributions in Data Mining: Theory and Application 2003 PODS 4.3997447e-05
12,355 Robust and Distributed Top-N Frequent-Pattern Mining With SAP BW Accelerator 2009 VLDB 4.1905499e-05
12,471 Optimization of Frequent Itemset Mining on Multiple-Core Processor 2007 VLDB 4.1905499e-05
12,600 Computing Frequent Itemsets Inside Oracle 10G 2004 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.

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