Efficient Answering of Historical What-if Queries
Summary: Proposes historical what-if queries to quantify the impact of hypothetical history changes on current data. Uses reenactment with program and data slicing to prune irrelevant updates, enabling efficient evaluation of modified histories; implemented in Mahif and demonstrated experimentally. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,257 | Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines | 2023 | SIGMOD | 4.5487511e-05 |
| 8,580 | LIT: Lightning-fast In-memory Temporal Indexing | 2024 | SIGMOD | 4.492241e-05 |
| 10,394 | Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems | 2025 | SIGMOD | 4.1945683e-05 |
| 10,657 | Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples | 2025 | VLDB | 4.1945683e-05 |
| 11,255 | R3: Record-Replay-Retroaction for Database-Backed Applications | 2023 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next