2017 SIGKDD Best Paper Award Winners
2017 SIGKDD Best Research Paper Awards AwardACM 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)