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PROPOLIS: Provisioned Analysis of Data-Centric Processes

Summary: PROPOLIS: provisioned analysis of data-centric processes (DB-backed, finite-state control). Uses provisioned expressions based on data provenance to summarize results across hypothetical scenario modifications, enabling interactive exploration for analysts in an online shopping demo. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10599
Venue
VLDB
Year
2013
Pagerank
4.2577164e-05
Overall Rank
9,907 | 31.08%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,886 Provenance-based Data Skipping 2022 VLDB 4.4279829e-05
12,014 A Provenance Framework for Data-Dependent Process Analysis 2014 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
31 Provenance Semirings 2007 PODS 0.0007857786
923 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.0001527609
1,106 Provenance for Aggregate Queries 2011 PODS 0.0001398766
1,646 Caravan: Provisioning for What-If Analysis 2013 CIDR 0.00011036992
2,496 A System for Specification and Verification of Interactive, Data-driven Web Applications 2006 SIGMOD 8.6474041e-05
6,321 Tiresias: A Demonstration of How-To Queries 2012 SIGMOD 5.112523e-05
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