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Probabilistic Histograms for Probabilistic Data

Summary: Proposes probabilistic histograms for uncertain relations, preserving possible-worlds semantics for planning and AQP. Then a Dynamic Programming framework builds optimal buckets with per-bucket PDFs under metrics (variation distance, SSE, max error, EMD1)—polynomial-time, compact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9888
Venue
VLDB
Year
2009
Pagerank
4.5888589e-05
Overall Rank
8,090 | 43.72%
DOI
-

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