Data Mining Best Applied Paper

2020 Winner(s)

Winning material: From Classification to Optimization: A Scenario-based Robust Optimization Approach

Purpose of the Award

The Data Mining (DM) Section of INFORMS announces the DM Best Paper Competition to recognize excellence among its members. The objective of the best paper competition is to recognize excellence among the high-quality research works of DM section members, and brings prestige to DM Section as well as to the recipients.

Application process:

Click here for more information. 

Past Awardees

2020 Winner(s)
Kai Wang, Massachusetts Institute of Technology
Alexandre Jacquillat, Massachusetts Institute of Technology
2020 Finalist
Shixiang Zhu, Georgia Tech University
Yao Xie, Georgia Tech University
Lujia Wang, Georgia Tech University
Todd J. Schwedt, Mayo Clinic
Catherine D. Chong, Mayo Clinic
Teresa Wu, Arizona State University
Jing Li, Georgia Tech University
2018 Winner(s)
Salar Fattahi, University of California, Berkeley
Will Ma, Massachusetts Institute of Technology
Angela Zhou, Cornell University
2018 Finalist
Velibor Misic, University of California Los Angeles
Long Zhao, University of Texas, Austin