mlsanityData to 7 Oct 2026

The Causal-Effect Score in Data Management

arXiv 2502.02495 ↗First posted 4 Feb 2025cs.DB cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

The Causal Effect (CE) is a numerical measure of causal influence of variables on observed results. Despite being widely used in many areas, only preliminary attempts have been made to use CE as an attribution score in data management, to measure the causal strength of tuples for query answering in databases. In this work, we introduce, generalize and investigate the so-called Causal-Effect Score in the context of classical and probabilistic databases.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 4 Feb 2025.

Builds on

17 of 42 references.

References · 17

  1. 2017Snorkel: Rapid Training Data Creation with Weak Supervisioncited by 370
  2. 2015A Modification of the Halpern-Pearl Definition of Causalitycited by 47
  3. 2020Causality-based Explanation of Classification Outcomescited by 25
  4. 2019The Shapley Value of Tuples in Query Answeringcited by 23
  5. 2014From Causes for Database Queries to Repairs and Model-Based Diagnosis and Backcited by 13
  6. 2021Computing the Shapley Value of Facts in Query Answeringcited by 11
  7. 2024The Shapley Value in Database Managementcited by 11
  8. 2016Quantifying Causal Effects on Query Answering in Databasescited by 10
  9. 2016Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraintscited by 8
  10. 2023When is Shapley Value Computation a Matter of Counting?cited by 8
  11. 2023From Shapley Value to Model Counting and Backcited by 7
  12. 2023Banzhaf Values for Facts in Query Answeringcited by 6
5 more
  1. 2024Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databasescited by 6
  2. 2019Uniform Reliability of Self-Join-Free Conjunctive Queriescited by 2
  3. 2020A Dichotomy for the Generalized Model Counting Problem for Unions of Conjunctive Queriescited by 2
  4. 2022A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxationscited by 2
  5. 2023Attribution-Scores in Data Management and Explainable Machine Learningcited by 2

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Causality-Based Scores Alignment in Explainable Data Managementcited by 1