Online Association Rule Mining
Summary: Online association rule mining; single-pass online large-itemset discovery with dynamic threshold changes. Maintains a superset of large itemsets; uses shrinking intervals; finishes after 2 scans with exact supports, saving memory vs Apriori/DIC. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christian Hidber (International Computer Science Institute)
BibTeX Citation
@inproceedings{hidber_sigmod99,
title = {{Online Association Rule Mining}},
author = {Hidber, Christian},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304195},
url = {https://dl.acm.org/doi/10.1145/304182.304195},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00030600691 |
| 6,020 | The 3W Model and Algebra for Unified Data Mining | 2000 | VLDB | 5.9129763e-05 |
| 6,142 | Data Mining with the SAP NetWeaver BI Accelerator | 2006 | VLDB | 5.8722726e-05 |
| 6,570 | An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems | 2016 | PODS | 5.7458578e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00076195956 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.00064420972 |
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.0005121339 |
| 473 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00017673931 |
| 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00016173338 |
| 721 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD | 0.0001452081 |
| 912 | Efficiently Mining Long Patterns from Databases | 1998 | SIGMOD | 0.00013115246 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 721 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD |
| 2 | 4,637 | Association Rules over Interval Data | 1997 | SIGMOD |
| 3 | 467 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 4 | 475 | Mining Generalized Association Rules | 1995 | VLDB |
| 5 | 5,760 | A New Framework For Itemset Generation | 1998 | PODS |
| 6 | 13,172 | Mining Frequent Itemsets Using Support Constraints | 2000 | VLDB |
| 7 | 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB |
| 8 | 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 9 | 250 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD |
| 10 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |