Traversing Itemset Lattices with Statistical Metric Pruning
Summary: Introduces tight upper-bound estimation for statistical measures (chi-square, correlation) over supersets of an itemset, enabling pruning despite non-antimonotonicity. Uses these bounds to traverse/prune the itemset lattice efficiently; experiments show substantial speedups. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shinichi Morishita (University of Tokyo)
- 2. Jun Sese (University of Tokyo)
BibTeX Citation
@inproceedings{morishita_pods00,
address = {New York, NY, USA},
series = {{PODS} '00},
title = {{Traversing Itemset Lattices with Statistical Metric Pruning}},
url = {https://dl.acm.org/doi/10.1145/335168.335226},
doi = {10.1145/335168.335226},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Morishita, Shinichi and Sese, Jun},
year = {2000}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,972 | Mining Significant Graph Patterns by Leap Search | 2008 | SIGMOD | 9.3708222e-05 |
| 5,603 | Output Space Sampling for Graph Patterns | 2009 | VLDB | 6.153476e-05 |
| 12,765 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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