Association Rules over Interval Data

Summary: Interval data (ordered with meaningful gaps) breaks support/confidence as rule-adequacy; introduces a new interest definition that respects interval semantics. Presents an algorithm to mine rules under the new metric and demonstrates scalability on large real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3030
Venue: SIGMOD
Year: 1997
Pagerank: 6.6382392e-05
Overall Rank: 4,545 | 68.82%
DOI: 10.1145/253260.253361

Incoming Non-self Citations Over Time

Authors

1. R. J. Miller (Ohio State University)
2. Y. Yang (Ohio State University)

BibTeX Citation

@inproceedings{miller_sigmod97,
        title = {{Association Rules over Interval Data}},
        author = {Miller, R. J. and Yang, Y.},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253361},
        url = {https://dl.acm.org/doi/10.1145/253260.253361},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
304	Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications	1998	SIGMOD	0.00021917388
1,535	Exploratory Mining and Pruning Optimizations of Constrained Association Rules	1998	SIGMOD	0.00010463058

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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	0.0006567919
31	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00050347119
88	Efficient and Effective Clustering Methods for Spatial Data Mining	1994	VLDB	0.00035240327
240	An Effective Hash-Based Algorithm for Mining Association Rules	1995	SIGMOD	0.0002366381
456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00018124452
460	Mining Generalized Association Rules	1995	VLDB	0.00018071773
462	Sampling Large Databases for Association Rules	1996	VLDB	0.00018065337
558	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB	0.00016530269
606	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD	0.00015804851

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,354	Online Association Rule Mining	1999	SIGMOD
2	456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB
3	1,217	Maintaining Data Privacy in Association Rule Mining	2002	VLDB
4	460	Mining Generalized Association Rules	1995	VLDB
5	558	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
6	4,154	A New SQL-like Operator for Mining Association Rules	1996	VLDB
7	4,565	Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization	1996	SIGMOD
8	13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD
9	606	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD
10	4,766	Mining Optimized Association Rules for Numeric Attributes	1996	PODS