DBScholar

Back to papers

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
hc2f69906b63b8342
Venue
SIGMOD
Year
1996
Pagerank
0.00015502611
Overall Rank
620 | 95.84%
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
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027837289
308 Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications 1998 SIGMOD 0.00021473921
785 A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data 1997 VLDB 0.00014005637
862 How to Summarize the Universe: Dynamic Maintenance of Quantiles 2002 VLDB 0.00013396995
1,031 On Generating Near-Optimal Tableaux for Conditional Functional Dependencies 2008 VLDB 0.00012405065
1,561 Exploratory Mining and Pruning Optimizations of Constrained Association Rules 1998 SIGMOD 0.00010240418
2,291 GORDIAN: Efficient and Scalable Discovery of Composite Keys 2006 VLDB 8.6872323e-05
2,453 Personalized Privacy Preservation 2006 SIGMOD 8.4435151e-05
4,637 Association Rules over Interval Data 1997 SIGMOD 6.4923571e-05
4,664 Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization 1996 SIGMOD 6.4800763e-05
4,873 Mining Optimized Association Rules for Numeric Attributes 1996 PODS 6.372839e-05
5,084 Optimization of Constrained Frequent Set Queries with 2-variable Constraints 1999 SIGMOD 6.2834723e-05
5,302 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 6.1889036e-05
5,760 A New Framework For Itemset Generation 1998 PODS 6.0038837e-05
6,405 Efficient Construction of Regression Trees with Range and Region Splitting 1997 VLDB 5.795983e-05
6,824 Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining 1998 VLDB 5.6715478e-05
6,899 REDS: Rule Extraction for Discovering Scenarios 2021 SIGMOD 5.6529909e-05
8,587 Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis 2015 CIDR 5.3078077e-05
8,976 Adding Counting Quantifiers to Graph Patterns 2016 SIGMOD 5.2452044e-05
9,618 SubTab: Data Exploration with Informative Sub-Tables 2022 SIGMOD 5.1505136e-05
9,697 Analyzing Quantitative Databases: Image is Everything 2001 VLDB 5.1387734e-05
13,056 Cost-Based Labeling of Groups of Mass Spectra 2004 SIGMOD 4.9793485e-05
13,215 A Data Mining Application: Customer Retention at the Port of Singapore Authority (PSA) 1998 SIGMOD 4.9793485e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers