Wavelet-Based Histograms for Selectivity Estimation
Summary: Wavelet-based histograms built via multiresolution decomposition on cumulative distributions for compact selectivity estimation. Online construction and joint distributions yield fast approximate answers, outperforming sampling and prior methods for OLAP queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yossi Matias (AT&T; Tel Aviv University)
- 2. Jeffrey Scott Vitter (AT&T; Duke University)
- 3. Min Wang (Duke University)
BibTeX Citation
@inproceedings{matias_sigmod98,
title = {{Wavelet-Based Histograms for Selectivity Estimation}},
author = {Matias, Yossi and Vitter, Jeffrey Scott and Wang, Min},
series = {{SIGMOD} '98},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/276304.276344},
url = {https://dl.acm.org/doi/10.1145/276304.276344},
year = {1998}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 64 citing papers.
Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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