The Causal-Effect Score in Data Management
Abstract
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.
Cite
Text
Azúa and Bertossi. "The Causal-Effect Score in Data Management." Proceedings of the Fourth Conference on Causal Learning and Reasoning, 2025.Markdown
[Azúa and Bertossi. "The Causal-Effect Score in Data Management." Proceedings of the Fourth Conference on Causal Learning and Reasoning, 2025.](https://mlanthology.org/clear/2025/azua2025clear-causaleffect/)BibTeX
@inproceedings{azua2025clear-causaleffect,
title = {{The Causal-Effect Score in Data Management}},
author = {Azúa, Felipe and Bertossi, Leopoldo},
booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning},
year = {2025},
pages = {874-893},
volume = {275},
url = {https://mlanthology.org/clear/2025/azua2025clear-causaleffect/}
}