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Data is Dead… Without What-If Models

Summary: Proposes a model-and-data paradigm pairing what-if models with data-centric DBs to enable decisions under uncertainty. Identifies extensions in data integration, query processing, and collaborative analytics to fuse data and models for decisions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10233
Venue
VLDB
Year
2011
Pagerank
5.8813803e-05
Overall Rank
4,844 | 66.31%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
10,101 Privacy-preserving and Verifiable Causal Prescriptive Analytics 2026 SIGMOD 4.1945683e-05
11,314 Augmenting Decision Making via Interactive What-If Analysis 2022 CIDR 4.1945683e-05
11,968 Model-Data Ecosystems: Challenges, Tools, and Trends 2014 PODS 4.1945683e-05
12,018 Towards Building Wind Tunnels for Data Center Design 2014 VLDB 4.1945683e-05
12,021 Υ-DB: Managing scientific hypotheses as uncertain data 2014 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
321 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00027527389
483 Clio Grows Up: From Research Prototype to Industrial Tool 2005 SIGMOD 0.00022125107
3,626 Behavioral Simulations in MapReduce 2010 VLDB 6.9047458e-05
8,888 E = MC^3: Managing Uncertain Enterprise Data in a Cluster-Computing Environment 2009 SIGMOD 4.4278238e-05
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