2012 Section on Data Mining Student Paper Award

There were an increased number of submissions to the INFORMS Data Mining Best Student Paper competition this year over past years. A total of 18 papers were submitted and these papers were evaluated by 12 reviewers. The top four papers were selected for the presentation at the 2012 INFORMS Annual Meeting in Phoenix, AZ. The information on the four finalists and their papers is as follows:

  • Yi-Hao Kao: Learning a Factor Model via Regularized PCA, Stanford
  • Kaibo Liu: Health Index Development Based on Sensory Data Fusion for Degradation Modeling and Prognostic Analysis, Georgia Tech
  • Theja Tulabandhula: Learning and Decision Making, MIT
  • Shouyi Wang: Personalized Online Seizure Prediction Using An Adaptive Learning Approach, Rutgers

The winner of the Best Student Paper Award, Kaibo Liu at Georgia Tech, was announced at the Data Mining business meeting. Here is a picture from the DM Business Meeting. Thanks to those of you who helped organize the student paper competition, and congratulations again to the finalists!

Student Paper Competition finalists with the competion chair at the Data Mining Business Meeting in Phoenix, AZ (from left: Mr. Shouyi Wang, Mr. Kaibo Liu, Prof. Peter Qian, Mr. Theja Tulabandhula, and Mr. Yi-Hao Kao).

The award was established in 2009 to increase the involvement of students in the section, facilitate networking among students with interest in data mining, and recognize excellent student work.