SIGKDD Awards

ACM SIGKDD is pleased to announce the winners of the best paper awards from the set of papers submitted to the KDD 2017 conference.

Research Track

BEST PAPER AWARD

Winner

Accelerating Innovation Through Analogy Mining
Tom Hope (Hebrew University of Jerusalem);Joel Chan (Carnegie Mellon University);Aniket Kittur (Carnegie Mellon University);Dafna Shahaf (Hebrew University of Jerusalem)

Runner Up

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
David Hallac (Stanford University);Sagar Vare (Stanford University);Stephen Boyd (Stanford University);Jure Leskovec (Stanford University)

Best Reviewers

• Karthik Raman, Google
• Kevin Small, Amazon
• Zoran Obradovic, Temple University
• Pauli Miettinen, Max Planck Institute

Applied Data Science Track

BEST PAPER AWARD

Winner

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network
Yanfang Ye (West Virginia University);Shifu Hou (West Virginia University);Yangqiu Song (West Virginia University)

Runner Up

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
Thomas Vandal (Northeastern University);Evan Kodra (risQ Inc.);Sangram Ganguly (Bay Area Environmental Research Institute / NASA Ames Research Center);Andrew Michaelis (University Corporation, Monterey Bay);Ramakrishna Nemani (NASA Ames Research Center);Auroop Ganguly (Northeastern University)

Best Reviewers

• Charalampos Mavroforakis, Boston University 
• Noam Koenigstein, Microsoft 
• Alexandros Ntoulas, LinkedIn

Audience Appreciation Award

An efficient bandit algorithm for realtime multivariate optimization
Daniel Hill (Amazon.com);Houssam Nassif (Amazon.com);Yi Liu (Amazon.com);Anand Iyer (Amazon.com);S. V. N. Vishwanathan (Amazon.com)