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E = MC^3: Managing Uncertain Enterprise Data in a Cluster-Computing Environment

Summary: Extends MCDB to a MapReduce cluster for scalable Monte Carlo analytics over uncertain enterprise data. Introduces distributed seed-generation algorithms, maps MCDB plans to MapReduce over nested data, and supports non-relational storage, with scalable performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4138
Venue
SIGMOD
Year
2009
Pagerank
4.4278238e-05
Overall Rank
8,888 | 38.17%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,844 Data is Dead… Without What-If Models 2011 VLDB 5.8813803e-05
7,787 Jigsaw: Efficient Optimization Over Uncertain Enterprise Data 2011 SIGMOD 4.6512526e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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