ResearchDatabases & Machine Learning



Image for Database and Machine LearningIn the design of analytical procedures and machine-learning solutions, a critical and time-consuming task is that of feature engineering, for which various recipes and tooling approaches have been developed. We develop and analyze database foundations for feature engineering, with the goal of opening the way to research and techniques to assist developers by utilizing the database’s modeling and understanding of data and queries, and by deploying the well studied principles of database management.


Selected Publications

Pablo Barceló, Alexander Baumgartner, Victor Dalmau and Benny Kimelfeld, "Regularizing Conjunctive Features for Classification", To appear in PODS, 2019   
Benny Kimelfeld, Christopher Ré, "A Relational Framework for Classifier Engineering", SIGMOD Record 47(1): 6-13 (2018)   abstractpaper