Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Summary: Dependency-based histogram synopses for high-dimensional data via interaction models capturing correlations. Low-dimensional marginals guided by the model approximate the joint, outperforming independence and aiding other space-partitioning methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amol Deshpande (University of California Berkeley)
- 2. Minos Garofalakis (AT&T)
- 3. Rajeev Rastogi (AT&T)
BibTeX Citation
@inproceedings{deshpande_sigmod01,
title = {{Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data}},
author = {Deshpande, Amol and Garofalakis, Minos and Rastogi, Rajeev},
series = {{SIGMOD} '01},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/375663.375685},
url = {https://dl.acm.org/doi/10.1145/375663.375685},
year = {2001}
}
Incoming Citations (Sorted by Pagerank)
Showing 44 of 44 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 35 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00048312101 |
| 103 | Selectivity Estimation Without the Attribute Value Independence Assumption | 1997 | VLDB | 0.00034277363 |
| 307 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.0002170972 |
| 855 | Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes | 2000 | SIGMOD | 0.00013573277 |
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