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 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 Read More

Jun 19, 2017

The Carnegie Mellon Database Group has an opening for a fully-funded post-doctoral position on database management systems at its Pittsburgh, Pennsylvania campus. The position is to assist with the research and development of CMU's in-memory HTAP DBMS (Peloton) as part of the Intel Science and Technology Center for Visual Cloud Systems. The post-doctoral researcher will be expected to develop their own research agenda within the scope of the position, design and implement novel analysis techniques, conduct experiments, supervise students on The Carnegie Mellon Database Group has an opening for a fully-funded post-doctoral position on database management systems at its Pittsburgh, Pennsylvania campus. The position is to assist with the research and development of CMU's in-memory HTAP DBMS (Peloton) as part Read More

May 13, 2017

Members of the Carnegie Mellon Database Group are presenting four times at SIGMOD 2017 held in Chicago, IL: Tutorial Joy Arulraj & Andy Pavlo — How to Build a Non-Volatile Memory Database Management System Keynote Andy Pavlo — What Are We Doing With Our Lives? Nobody Cares About Our Research on Transactions Research Talk Dana Van Aken — Automatic Database Management System Tuning Through Large-scale Machine Learning Research Talk Andy Pavlo — Online Deduplication for Databases Videos of these talks Members of the Carnegie Mellon Database Group are presenting four times at SIGMOD 2017 held in Chicago, IL: Tutorial Joy Arulraj & Andy Pavlo — How to Build a Non-Volatile Memory Database Management System Keynote Andy Pavlo — What Are Read More

Dec 18, 2016

The Carnegie Mellon Database Group is offering multiple internship positions for a special summer research project at its Pittsburgh, Pennsylvania campus. It will be an intense 12-week internship from June to August 2017. The project will be to work on a new open-source distributed database system from scratch. Thus, we are looking for candidates that have strong systems-level C/C++ programming skills. Interns will be paid a three-month summer salary (commensurate with skills and experience) and the cost of travel expenses. The Carnegie Mellon Database Group is offering multiple internship positions for a special summer research project at its Pittsburgh, Pennsylvania campus. It will be an intense 12-week internship from June to August 2017. The project will be to work on Read More

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 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 Read More

Aug 14, 2016

The Carnegie Mellon Database Group has several open positions for students in the 2016-2017 academic year. These positions are only available to current and recently graduated CMU students. The positions that are funded will be marked as "paid" and are only available to current CMU students. The unpaid positions are more research related, and thus can be part of an independent study or senior thesis project that could turn into a publication. We especially encourage students who are interested in The Carnegie Mellon Database Group has several open positions for students in the 2016-2017 academic year. These positions are only available to current and recently graduated CMU students. The positions that are funded will be marked as "paid" and are Read More

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 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 Read More

Jul 8, 2016

CMU team wins the ‘Test of Time’ award at KDD 2016 for their 2005 paper: Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations Jure Leskovec, Jon Kleinberg, and Christos Faloutsos KDD is the flagship conference for large-scale data mining. Jure was a phd student at SCS/MLD (and currently a professor at Stanford). Jon was visiting CMU for his sabbatical. The paper made the surprising discoveries that real graphs become denser over time, following a power-law pattern, and that CMU team wins the ‘Test of Time’ award at KDD 2016 for their 2005 paper: Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations Jure Leskovec, Jon Kleinberg, and Christos Faloutsos KDD is the flagship conference for large-scale data Read More