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Mining Quantitative Association Rules in Large Relational Tables

Summary: Proposes mining quantitative and categorical association rules in large relational tables via discretizing attributes into partitions. Defines partial completeness for discretization loss and a greater-than-expected-value measure to prune and rank rules. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2928
Venue
SIGMOD
Year
1996
Pagerank
0.00015804851
Overall Rank
606 | 95.85%
DOI
10.1145/233269.233311

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{srikant_sigmod96,
        title = {{Mining Quantitative Association Rules in Large Relational Tables}},
        author = {Srikant, Ramakrishnan and Agrawal, Rakesh},
        series = {{SIGMOD} '96},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/233269.233311},
        url = {https://dl.acm.org/doi/10.1145/233269.233311},
        year = {1996}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
304 Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications 1998 SIGMOD 0.00021917388
783 A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data 1997 VLDB 0.00014076306
842 How to Summarize the Universe: Dynamic Maintenance of Quantiles 2002 VLDB 0.00013671191
1,033 On Generating Near-Optimal Tableaux for Conditional Functional Dependencies 2008 VLDB 0.00012529852
1,535 Exploratory Mining and Pruning Optimizations of Constrained Association Rules 1998 SIGMOD 0.00010463058
2,269 GORDIAN: Efficient and Scalable Discovery of Composite Keys 2006 VLDB 8.8328424e-05
2,397 Personalized Privacy Preservation 2006 SIGMOD 8.6343421e-05
4,545 Association Rules over Interval Data 1997 SIGMOD 6.6382392e-05
4,565 Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization 1996 SIGMOD 6.6278063e-05
4,766 Mining Optimized Association Rules for Numeric Attributes 1996 PODS 6.5181854e-05
4,969 Optimization of Constrained Frequent Set Queries with 2-variable Constraints 1999 SIGMOD 6.4201643e-05
5,179 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 6.3299352e-05
5,633 A New Framework For Itemset Generation 1998 PODS 6.1414792e-05
6,280 Efficient Construction of Regression Trees with Range and Region Splitting 1997 VLDB 5.928365e-05
6,689 Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining 1998 VLDB 5.8014872e-05
6,759 REDS: Rule Extraction for Discovering Scenarios 2021 SIGMOD 5.7827401e-05
8,429 Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis 2015 CIDR 5.4263087e-05
8,809 Adding Counting Quantifiers to Graph Patterns 2016 SIGMOD 5.3655939e-05
9,438 SubTab: Data Exploration with Informative Sub-Tables 2022 SIGMOD 5.2687297e-05
9,515 Analyzing Quantitative Databases: Image is Everything 2001 VLDB 5.2567112e-05
12,766 Cost-Based Labeling of Groups of Mass Spectra 2004 SIGMOD 5.093636e-05
12,925 A Data Mining Application: Customer Retention at the Port of Singapore Authority (PSA) 1998 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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