News

Carnegie Mellon Database Group Wins 2018 IEEE ICDM Test-of-Time Paper Award

Nov 11, 2018

Singapore - The Carnegie Mellon Database Group is pleased to announce that their 2009 paper PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations has won the 2018 IEEE ICDM Test-of-Time Award. The authors were CMU Ph.D. students U Kang and Charalampos Tsourakakis, in collaboration with Prof. Christos Faloutsos. This paper on the PEGASUS project showed how to apply graph-mining algorithms on a Map-Reduce platform. The main insight was that a wide range of graph mining algorithms eventually require Read More

Carnegie Mellon Database Group Wins 2018 SIGMOD Best Paper Award

May 22, 2018

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

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Prof. Christos Faloutsos wins PAKDD Distinguished Contributions Award

May 14, 2018

Prof. Christos Faloutsos attracted the PAKDD Distinguished Contribution Award, in the upcoming PAKDD 2018, in Melbourne, Australia. Quote from the conference web site: The Steering Committee considers it an honor to award the PAKDD Distinguished Contributions Award for 2018 to Professor Christos Faloutsos, for his many seminal contributions to the field of data mining, including time series matching, network analysis, graph computation, and their scalability. Especially notable is his highly successful program in showing how strong mathematical results can be Read More

Prof. Andy Pavlo wins 2018 Joel & Ruth Spira Teaching Award

Apr 6, 2018

Pittsburgh, Pennsylvania — A great philosopher was once asked what their ultimate goal was. Without a notice of hesitation, the philosopher replied that right now he did not feel that he was getting what he wanted. But at some later point when he received a small amount of accolades, then that was when the world would know that it is on. Indeed, this is because (without trying to brag too much) he knew that he had something that the world Read More

Prof. Andy Pavlo wins 2017 Google Faculty Research Award

Mar 20, 2018

Mountain View, California — Science is a dirty game. People get hurt. Marriages get broken. Mix tapes get dropped. But in the end one is able to move humanity forward and make a difference. This is why we do database. This is why we get up in the morning for the research grind. Maybe there is a better life out there, but frankly we do not want to hear it. Given this, the CMU Database Group is pleased to announce Read More

Prof. Andy Pavlo wins Sloan Research Fellowship

Feb 15, 2018

New York City, New York — No one can escape the vicissitudes of life. We all know that going into this. We are driven to do one thing and one thing only: Databases. But this means that we will never ask, but instead just give. We are afforded the opportunity to wake up every morning and say to ourselves "today is the greatest day because I get to work on databases." Given this, the CMU Database Group is pleased to Read More

CMU DB Wins ICDM 2017 ‘Best Paper’ Award

Oct 19, 2017

The CMU Database Group and the University of Porto (Portugal) won 2017 IEEE International Conference on Data Mining Best Paper award for their paper: TensorCast: Forecasting with Context using Coupled Tensors Miguel Ramos de Araujo, Pedro Manual Pinto Ribeiro, Christos Faloutsos This research provides a fast and effective algorithm to forecast the evolution of a tensor (like who-publishes-where-and-when), given additional, side information (like who has been co-author with whom). Read More

Alex and Vagelis both win KDD-dissertation distinction!

Jul 10, 2017

Dr. Alex Beutel and Prof. Evangelos (Vagelis) Papalexakis, each attracted the ‘runner-up’ distinction for the prestigious SIGKDD doctoral dissertation award. SIGKDD is the flagship venue for data mining. Alex’s dissertation, titled ‘User Behavior Modeling with Large-Scale Graph Analysis’ focused on anomaly detection, by modeling normal and abnormal users, as well as on the design of scalable algorithms for large graphs. Vagelis’ dissertation, titled 'Mining Large Multi-aspect Data: Algorithms and Applications' bridged signal- and tensor-analysis, with data mining at scale, and Read More

CMU Wins SIGKDD 2016 ‘Best Research Paper’ Award

Aug 18, 2016

The Carnegie Mellon Database Group team won the Best Research Paper award in SIGKDD 2016 for their paper FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. The authors were Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, and Prof. Christos Faloutsos. KDD is the flagship data mining conference. The award ceremony was on Sunday Aug. 14, in San Francisco. The paper was selected out of over 700 submissions, and among 70 accepted papers. The paper gives Read More

Danai Koutra Wins 2016 SIGKDD Doctoral Dissertation Award

Jul 8, 2016

CS alumna Prof. Danai Koutra (now faculty at the University of Michigan Ann-Arbor) won the SIGKDD 2016 Dissertation award, for her thesis Exploring and Making Sense of Large Graphs The thesis contributes fast algorithms for summarizing large graphs, both static as well as time-evolving, and for contrasting two or more graphs, with applications to brain wiring, social networks, collaboration networks and more. SIGKDD is the premier conference for large-scale data mining. The competition for the dissertation award is fierce, with Read More