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: h992b5109e2778994
Venue: SIGMOD
Year: 1997
Pagerank: 6.4923571e-05
Overall Rank: 4,637 | 68.83%
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
308	Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications	1998	SIGMOD	0.00021473921
1,561	Exploratory Mining and Pruning Optimizations of Constrained Association Rules	1998	SIGMOD	0.00010240418

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	0.00064420972
32	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00049737458
94	Efficient and Effective Clustering Methods for Spatial Data Mining	1994	VLDB	0.00034579889
250	An Effective Hash-Based Algorithm for Mining Association Rules	1995	SIGMOD	0.00023156569
467	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00017766906
473	Sampling Large Databases for Association Rules	1996	VLDB	0.00017673931
475	Mining Generalized Association Rules	1995	VLDB	0.00017672519
573	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB	0.00016173338
620	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD	0.00015502611

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,444	Online Association Rule Mining	1999	SIGMOD
2	467	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB
3	1,239	Maintaining Data Privacy in Association Rule Mining	2002	VLDB
4	475	Mining Generalized Association Rules	1995	VLDB
5	573	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
6	4,231	A New SQL-like Operator for Mining Association Rules	1996	VLDB
7	4,664	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	620	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD
10	4,873	Mining Optimized Association Rules for Numeric Attributes	1996	PODS