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)
Incoming Non-self Citations Over Time
Authors
- 1. Sudipto Guha
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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