InfClean: Effective Inference of Cleaning Programs from Data Annotations

Funding: ANR

Investigators: Paolo Papotti.

Project timeframe: 2018 - 2021

Project description

The project built a solid foundation for data cleaning, enabling a formal framework for specification synthesis, algorithms for increased automation, and a principled optimizer with quality performance guarantees for the user interaction. It also enabled accelerated information discovery, as well as economic benefits of early, well-informed, trustworthy decisions.