CMU Wins SIGKDD 2016 ‘Best Research Paper’ Award
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