Causal Data Integration

Summary: Defines Causal Data Integration (CDI): mining missing attributes from external sources and auto-building causal DAGs to enable causal inference over partial datasets. Gives a system architecture, key challenges and algorithms, and preliminary experiments demonstrating feasibility for recovering missing covariates and correcting mis-specified variable selection. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13298
Venue: VLDB
Year: 2023
Pagerank: 5.9932261e-05
Overall Rank: 6,054 | 58.47%
DOI: 10.14778/3603581.3603602

Incoming Non-self Citations Over Time

Authors

1. Brit Youngmann (Massachusetts Institute of Technology)
2. Michael Cafarella (Massachusetts Institute of Technology)
3. Babak Salimi (University of California San Diego)
4. Anna Zeng (Massachusetts Institute of Technology)

BibTeX Citation

@article{youngmann_vldb23,
        title = {{Causal Data Integration}},
        author = {Youngmann, Brit and Cafarella, Michael and Salimi, Babak and Zeng, Anna},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {10},
        pages = {2659--2665},
        doi = {10.14778/3603581.3603602},
        url = {https://doi.org/10.14778/3603581.3603602},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,094	The Fast and the Private: Task-based Dataset Search	2024	CIDR	5.9786215e-05
6,932	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	5.7362362e-05
9,055	Causal DAG Summarization	2025	VLDB	5.3251649e-05
9,773	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.2209769e-05
10,018	From Logs to Causal Inference: Diagnosing Large Systems	2025	VLDB	5.1757914e-05
10,391	Privacy-preserving and Verifiable Causal Prescriptive Analytics	2026	SIGMOD	5.093636e-05
10,436	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	5.093636e-05
10,958	What If: Causal Analysis with Graph Databases	2025	VLDB	5.093636e-05
10,968	Suna: Scalable Causal Confounder Discovery over Relational Data	2025	VLDB	5.093636e-05
11,170	Counterfactual Explanation at Will, with Zero Privacy Leakage	2024	SIGMOD	5.093636e-05
11,262	Enriching Relations with Additional Attributes for ER	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
486	Efficient Aggregation for Graph Summarization	2008	SIGMOD	0.00017692185
779	JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes	2019	SIGMOD	0.00014092047
878	Table Union Search on Open Data	2018	VLDB	0.00013463374
1,303	Finding Related Tables in Data Lakes for Interactive Data Science	2020	SIGMOD	0.0001123653
1,323	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011152602
1,447	Auctus: A Dataset Search Engine for Data Discovery and Augmentation	2021	VLDB	0.00010760327
2,374	Causal Relational Learning	2020	SIGMOD	8.6755064e-05
2,546	Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query)	2018	SIGMOD	8.4340413e-05
3,228	Correlation Sketches for Approximate Join-Correlation Queries	2021	SIGMOD	7.6215176e-05
4,834	KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking	2020	VLDB	6.4866871e-05
5,025	HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach	2022	SIGMOD	6.3974766e-05
6,266	Utility-Driven Graph Summarization	2019	VLDB	5.9355329e-05

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