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 |
|---|---|---|---|---|
| 122 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00031260115 |
| 5,895 | The 3W Model and Algebra for Unified Data Mining | 2000 | VLDB | 6.0486927e-05 |
| 6,017 | Data Mining with the SAP NetWeaver BI Accelerator | 2006 | VLDB | 6.0061791e-05 |
| 6,454 | An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems | 2016 | PODS | 5.8746921e-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 | 0.00077458002 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 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 |
| 704 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD | 0.00014837704 |
| 886 | Efficiently Mining Long Patterns from Databases | 1998 | SIGMOD | 0.0001340645 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 704 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD |
| 2 | 4,545 | Association Rules over Interval Data | 1997 | SIGMOD |
| 3 | 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 4 | 460 | Mining Generalized Association Rules | 1995 | VLDB |
| 5 | 5,633 | A New Framework For Itemset Generation | 1998 | PODS |
| 6 | 12,882 | Mining Frequent Itemsets Using Support Constraints | 2000 | VLDB |
| 7 | 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB |
| 8 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 9 | 240 | 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 |