Universality of Serial Histograms
Summary: Universality of serial histograms for frequency distribution in relational data. Optimal to minimize extreme-case query-size errors in tree-join queries; zero expected error for all histograms, arguing to optimize for extreme cases, not mean error. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yannis E. Ioannidis (University of Wisconsin)
BibTeX Citation
@article{ioannidis_vldb93,
title = {{Universality of Serial Histograms}},
author = {Ioannidis, Yannis E.},
journal = {PVLDB},
series = {{VLDB} '93},
volume = {19},
pages = {256--267},
year = {1993}
}
Incoming Citations (Sorted by Pagerank)
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0023947656 |
| 36 | Accurate Estimation Of The Number Of Tuples Satisfying A Condition | 1984 | SIGMOD | 0.00047863192 |
| 119 | Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries | 1988 | SIGMOD | 0.0003137356 |
| 422 | Estimating Block Transfers and Join Sizes | 1983 | SIGMOD | 0.00018492336 |
| 1,641 | A Model of Data Distribution Based on Texture Analysis | 1985 | SIGMOD | 0.00010007832 |
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