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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
13110
Venue
VLDB
Year
2023
Pagerank
5.0587746e-05
Overall Rank
6,449 | 55.14%
DOI
10.14778/3603581.3603602

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Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
6,077 The Fast and the Private: Task-based Dataset Search 2024 CIDR 5.2229324e-05
7,172 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 4.8114797e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3109001e-05
9,871 From Logs to Causal Inference: Diagnosing Large Systems 2025 VLDB 4.2667743e-05
10,101 Privacy-preserving and Verifiable Causal Prescriptive Analytics 2026 SIGMOD 4.1945683e-05
10,147 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.1945683e-05
10,581 Causal DAG Summarization 2025 VLDB 4.1945683e-05
10,715 What If: Causal Analysis with Graph Databases 2025 VLDB 4.1945683e-05
10,725 Suna: Scalable Causal Confounder Discovery over Relational Data 2025 VLDB 4.1945683e-05
10,954 Counterfactual Explanation at Will, with Zero Privacy Leakage 2024 SIGMOD 4.1945683e-05
11,054 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.1945683e-05
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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.

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