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Space efficiency in Synopsis construction algorithms

Summary: Introduces a general, space-saving technique for histogram and wavelet synopsis construction that renders the traditional 'working-space' notion redundant. The approach generalizes to broader dynamic-programming problems, easily adapting to existing algorithms; validated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9322
Venue
VLDB
Year
2005
Pagerank
6.8204683e-05
Overall Rank
3,719 | 74.13%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
7,459 Compact Histograms for Hierarchical Identifiers 2006 VLDB 4.7243492e-05
9,950 Distributed Wavelet Thresholding for Maximum Error Metrics 2016 SIGMOD 4.2421586e-05
11,365 SIEVE: A Space-Efficient Algorithm for Viterbi Decoding 2022 SIGMOD 4.1945683e-05
11,751 Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure 2018 VLDB 4.1945683e-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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