Spatial Online Sampling and Aggregation
Summary: Online, incremental spatial sampling and aggregation enable interactive analytics over large spatio-temporal data via sampling from query results. Memory- and disk-resident indexing supports insertions/deletions; estimators improve with more samples and beat baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lu Wang (Hong Kong University of Science and Technology)
- 2. Robert Christensen (University of Utah)
- 3. Feifei Li (University of Utah)
- 4. Ke Yi (Hong Kong University of Science and Technology)
BibTeX Citation
@article{wang_vldb16,
title = {{Spatial Online Sampling and Aggregation}},
author = {Wang, Lu and Christensen, Robert and Li, Feifei and Yi, Ke},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {3},
pages = {84--95},
doi = {10.14778/2850583.2850584},
url = {https://doi.org/10.14778/2850583.2850584},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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