Database Paper Browser

Back to papers

Jigsaw: Efficient Optimization Over Uncertain Enterprise Data

Summary: Jigsaw, a probabilistic database platform for simulating enterprise scenarios with parameterized VG-Functions. It employs fingerprints to detect cross-parameter output correlations, enabling reuse and up to 100× speedups in parameter-space search. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4436
Venue
SIGMOD
Year
2011
Pagerank
4.6457822e-05
Overall Rank
7,791 | 45.86%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,165 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00013567206
5,788 Lenses: An On-Demand Approach to ETL 2015 VLDB 5.3256103e-05
12,194 Fuzzy Prophet: Parameter Exploration in Uncertain Enterprise Scenarios 2011 SIGMOD 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers