The Causal-Effect Score in Data Management
This work addresses a specific problem in data management by applying causal effect measures to database query attribution, representing an incremental advancement.
The paper tackles the problem of measuring the causal influence of tuples on query results in databases by introducing the Causal-Effect Score, generalizing it for classical and probabilistic databases.
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.