There were a significant increase number of submissions to the INFORMS Data Mining Best Student Paper competition this year over past years. A total of 35 papers (19 papers last year) were submitted and these papers were evaluated by 14 reviewers. The top four papers were selected for the presentation at the 2014 INFORMS Annual Meeting in Minneapolis, MN. The information on the four finalists and their papers is as follows:
- Marios Kokkodis: Career Development Paths in Online Labor Markets, NYU
- Jialei Wang: Finding Short Peptide Substrates using Bayesian Active Learning, Cornell
- Hao Yan: Image Defect Detection with Smooth-Sparse Decomposition, Georgia Tech
- Adams Wei Yu: Saddle Points and Accelerated Perceptron Algorithms, Carnegie Mellon
The winner of the Best Student Paper Award, Hao Yan at Georgia Tech, was announced at the Data Mining business meeting. Thanks to those of you who helped organize the student paper competition, and congratulations again to the finalists!