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Caravan: Provisioning for What-If Analysis
Summary: Caravan compiles provisioned autonomous representations (PARs) from the data, the analysis query, and user-specified what-if edits to enable fast, local what-if evaluation without accessing the source data. PAR size scales with the initial query answer (and scenario parameters) rather than the full dataset, enabling lightweight interactive exploration on resource-constrained devices.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 179
- Venue
- CIDR
- Year
- 2013
- Pagerank
- 0.00011026644
- Overall Rank
- 1,646 | 88.57%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,454 |
Causal Relational Learning |
2020 |
SIGMOD |
0.00011921443 |
| 2,286 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.102574e-05 |
| 2,770 |
The Semiring Framework for Database Provenance |
2017 |
PODS |
8.1495762e-05 |
| 2,816 |
Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) |
2018 |
SIGMOD |
8.0747683e-05 |
| 4,661 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0069281e-05 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 5,660 |
Query Refinement for Diverse Top-k Selection |
2024 |
SIGMOD |
5.3859487e-05 |
| 6,565 |
Toward Interpretable and Actionable Data Analysis with Explanations and Causality |
2022 |
VLDB |
5.0033542e-05 |
| 6,644 |
Query Refinement for Diversity Constraint Satisfaction |
2024 |
VLDB |
4.973836e-05 |
| 8,139 |
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints |
2020 |
SIGMOD |
4.5727142e-05 |
| 8,253 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
4.5444167e-05 |
| 8,392 |
Hypothetical Reasoning via Provenance Abstraction |
2019 |
SIGMOD |
4.5234647e-05 |
| 8,886 |
Provenance-based Data Skipping |
2022 |
VLDB |
4.4237386e-05 |
| 9,183 |
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries |
2020 |
SIGMOD |
4.3778211e-05 |
| 9,906 |
PROPOLIS: Provisioned Analysis of Data-Centric Processes |
2013 |
VLDB |
4.2536369e-05 |
| 10,405 |
Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,890 |
FaDE: More Than a Million What-ifs Per Second |
2025 |
VLDB |
4.1905499e-05 |
| 11,296 |
Erica: Query Refinement for Diversity Constraint Satisfaction |
2023 |
VLDB |
4.1905499e-05 |
| 12,022 |
A Provenance Framework for Data-Dependent Process Analysis |
2014 |
VLDB |
4.1905499e-05 |
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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| Overall Rank |
Paper |
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PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
4.1905499e-05 |
| 8,253 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
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SIGMOD |
4.5444167e-05 |
| 10,405 |
Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems |
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Query Steering for Interactive Data Exploration |
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Hypothetical Queries in an OLAP Environment |
2000 |
VLDB |
0.00011873918 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 8,392 |
Hypothetical Reasoning via Provenance Abstraction |
2019 |
SIGMOD |
4.5234647e-05 |
| 7,556 |
Interactive Query Explanations Using Fine Grained Provenance |
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SIGMOD |
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| 4,661 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0069281e-05 |
| 10,722 |
What If: Causal Analysis with Graph Databases |
2025 |
VLDB |
4.1905499e-05 |