Efficiently Estimating Mutual Information Between Attributes Across
Tables
Efficiently Estimating Mutual Information Between Attributes Across
Tables
Relational data augmentation is a powerful technique for enhancing data analytics and improving machine learning models by incorporating columns from external datasets. However, it is challenging to efficiently discover relevant external tables to join with a given input table. Existing approaches rely on data discovery systems to identify joinable tables …