AI RESEARCH
Causality-Based Scores Alignment in Explainable Data Management
arXiv CS.AI
•
ArXi:2503.14469v5 Announce Type: replace-cross Different attribution scores have been proposed to quantify the relevance of database tuples for query answering in databases; e.g. Causal Responsibility, the Shapley Value, the Banzhaf Power-Index, and the Causal Effect. They have been analyzed in isolation. This work is a first investigation of score alignment depending on the query and the database; i.e. on whether they induce compatible rankings of tuples.