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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)

Paper ID
9513
Venue
VLDB
Year
2005
Pagerank
6.4940349e-05
Overall Rank
4,819 | 66.94%
DOI
-

Incoming Non-self Citations Over Time

Authors

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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