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MCDB: A Monte Carlo Approach to Managing Uncertain Data

Summary: MCDB: Monte Carlo framework for uncertain data. VG functions parameterized by SQL results store only parameters, not probabilities, and estimate distributions; supports joint distributions, queries, and functionals, via bundle-based processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4026
Venue
SIGMOD
Year
2008
Pagerank
0.00024043655
Overall Rank
235 | 98.37%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
10 Online Aggregation 1997 SIGMOD 0.00077936311
316 Trio: A System for Data, Uncertainty, and Lineage 2006 VLDB 0.00021468682
398 MauveDB: Supporting Model-based User Views in Database Systems 2006 SIGMOD 0.00019336176
663 Creating Probabilistic Databases from Information Extraction Models 2006 VLDB 0.00015341439
1,059 Probabilistic Skylines on Uncertain Data 2007 VLDB 0.00012473603
1,061 Scalable Approximate Query Processing With The DBO Engine 2007 SIGMOD 0.00012468428
1,565 U-DBMS: A Database System for Managing Constantly-Evolving Data 2005 VLDB 0.00010398531
2,931 Matching Twigs in Probabilistic XML 2007 VLDB 8.0184975e-05
3,439 OLAP over Imprecise Data with Domain Constraints 2007 VLDB 7.4801591e-05
3,949 Maximally Joining Probabilistic Data 2007 PODS 7.0696458e-05
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