Carnegie Mellon Database Group Wins 2018 SIGMOD Best Paper Award
Houston, TX — When the dice are down on the pass and you are coming up with sevens, that's when you know your research is truly on point. No need for squabbling, no need for additional rolls. You got it done right the first time. The Carnegie Mellon Database Group is pleased to announce that their latest paper SuRF: Practical Range Query Filtering with Fast Succinct Tries has won the 2018 SIGMOD Best Paper Award. The paper's lead author author Read More