A Framework for Generating Summarized Causal Explanations for Aggregate Views in Databases

This paper introduces CauSumX, a novel framework designed to provide succinct yet comprehensive causal explanations for aggregate views generated by SQL queries with group-by and average clauses, addressing the challenge of understanding complex data trends by identifying causal relationships between attributes and aggregate results.