Database-support for Continuous Prediction Queries over Streaming Data

Summary: CPQs over streaming data with discrete Bayesian Networks; cost-based optimization using materialization, sharing, and model-specific techniques. Supports top-k and threshold high-probability queries; gains on real intrusion and monitoring workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10064
Venue: VLDB
Year: 2010
Pagerank: 4.1905499e-05
Overall Rank: 12,279 | 14.66%
DOI: -

Incoming Non-self Citations Over Time

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Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,085	The Case for Predictive Database Systems: Opportunities and Challenges	2011	CIDR	9.5749968e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
51	Including Group-By in Query Optimization	1994	VLDB	0.00067060283
52	Database Architecture Optimized for the new Bottleneck: Memory Access	1999	VLDB	0.00066322421
3,451	Processing Forecasting Queries	2007	VLDB	7.0798147e-05
3,547	Optimizing MPF Queries: Decision Support and Probabilistic Inference	2007	SIGMOD	6.9810773e-05
7,966	Efficient Top-K Processing Over Query-Dependent Functions	2008	VLDB	4.6089395e-05

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