Systems Aspects of Probabilistic Data Management
Summary: Tutorial on systems and algorithms for probabilistic data management, grounded in RFID streams and noisy readings. Covers probabilistic SQL, top-K/skyline/aggregate queries, Markov-chain event processing, representations, views, systems, and open challenges. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Magdalena Balazinska (University of Washington)
- 2. Christopher Re (University of Washington)
- 3. Dan Suciu (University of Washington)
BibTeX Citation
@article{balazinska_vldb08,
title = {{Systems Aspects of Probabilistic Data Management}},
author = {Balazinska, Magdalena and Re, Christopher and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {2},
pages = {1520--1523},
doi = {10.14778/1454159.1454219},
url = {https://doi.org/10.14778/1454159.1454219},
year = {2008}
}
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