Accepted to SIGMOD 2018: “A Query Engine for Probabilistic Preferences” by Uzi Cohen, Batya Kenig, Haoyue Ping, Benny Kimelfeld, and Julia Stoyanovich

The paper “A Query Engine for Probabilistic Preferences” by Uzi Cohen, Batya Kenig, Haoyue Ping, Benny Kimelfeld, and Julia Stoyanovich, was accepted to the 2018 SIGMOD conference.

Every day modern society generates an astounding amount of digital data, from which researchers in different fields want to produce, through fascinating experiments, useful knowledge. The Technion Data & Knowledge Lab focuses on developing infrastructure for data management and analysis by creating a solid theoretical basis, programming solutions for practical problems, building systems for data consumers and developing technologies for storing the data in the cloud.

Every day modern society generates an astounding amount of digital data, from which researchers in different fields want to produce, through fascinating experiments, useful knowledge. The Technion Data & Knowledge Lab focuses on developing infrastructure for data management and analysis by creating a solid theoretical basis, programming solutions for practical problems, building systems for data consumers and developing technologies for storing the data in the cloud.