Dynamic Itemset Counting and Implication Rules for Market Basket Data
Summary: Dynamic itemset counting for market-basket data with fewer passes than classic algorithms and fewer candidates than sampling-based methods, aided by item reordering for efficiency. Introduces a normalized implication-rule framework that yields true implications based on both antecedent and consequent, showing real-data characteristics strongly affect performance and results. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sergey Brin (Stanford University)
- 2. Rajeev Motwani (Stanford University)
- 3. Jeffrey D. Ullman (Stanford University)
- 4. Shalom Tsur (Hitachi)
BibTeX Citation
@inproceedings{brin_sigmod97,
title = {{Dynamic Itemset Counting and Implication Rules for Market Basket Data}},
author = {Brin, Sergey and Motwani, Rajeev and Ullman, Jeffrey D. and Tsur, Shalom},
series = {{SIGMOD} '97},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/253260.253325},
url = {https://dl.acm.org/doi/10.1145/253260.253325},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 371 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | VLDB | 0.00019869565 |
| 460 | Mining Generalized Association Rules | 1995 | VLDB | 0.00018071773 |
| 462 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00018065337 |
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