Database Paper Browser

Back to papers

PODS: A New Model and Processing Algorithms for Uncertain Data Streams

Summary: Uncertain data streams modeled with continuous random variables; PODS offers a flexible data model enabling efficient evaluation of aggregates and joins. Statistics-based approximation delivers strong accuracy and high performance, outperforming sampling, with a tornado-detection case study at stream speed. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4241
Venue
SIGMOD
Year
2010
Pagerank
5.3369195e-05
Overall Rank
5,764 | 59.91%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers