Space efficiency in Synopsis construction algorithms
Summary: Introduces a general technique to reduce the working space of optimal and approximate histogram/wavelet synopsis construction algorithms, showing that explicit “working space” is redundant. The method retrofits existing dynamic programs and delivers practical gains on real and synthetic data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sudipto Guha (University of Pennsylvania)
BibTeX Citation
@article{guha_vldb05,
title = {{Space efficiency in Synopsis construction algorithms}},
author = {Guha, Sudipto},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {409},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,375 | Compact Histograms for Hierarchical Identifiers | 2006 | VLDB | 5.6299286e-05 |
| 10,094 | Distributed Wavelet Thresholding for Maximum Error Metrics | 2016 | SIGMOD | 5.1530576e-05 |
| 11,563 | SIEVE: A Space-Efficient Algorithm for Viterbi Decoding | 2022 | SIGMOD | 5.093636e-05 |
| 11,957 | Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure | 2018 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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