Awards

Best Paper Competitions

The Data Mining (DM) Section of INFORMS announces the SAS Data Mining Best Paper Awards to recognize excellence among its members, particularly its student members. 

- Two awards will be given for applied and/or methodological papers. At least one of these (possibly both) will be awarded to a student.

- Two awards will be given for theoretical papers with/without a methodological component. At least one of these (possibly both) will be awarded to a student.

In order to submit a paper by a student,

1. The presenting student author must be a student on or after January 1, 2016.

2. The research must have been conducted while the presenting author was a student.

3. The paper must be written by the student author(s) with minor assistance from advisors. The effort of the student(s) must comprise at least 50% of the work presented in the paper.4. The presenting student author must be a member of the Data Mining Section.

5. The student author must be available to present the work at a session at the 2016 INFORMS Annual Meeting.

6. Papers will not be published as part of the competition. Student papers can be in any stage with regard to publication (unpublished, submitted, published, etc.). 

In order to submit a paper by a non-student,

1. The presenting author must be a member of the Data Mining Section.

2. The presenter must be available to present the work at a session at the 2016 INFORMS Annual Meeting.

3.  No version of the paper can be published or accepted at the time of submission.

This is for unpublished work only. Papers must be submitted with a maximum of 20 printed pages (1 inch margins, single column, single-spaced, 12 point font, and Times New Roman). The judging competition will consist of a DM judging panel and judges from SAS, who is generously sponsoring the competition this year.Candidates who meet the above criteria and wish to submit their paper for consideration can submit their papers to the competition chair, Dr. Mustafa Baydogan via email (mustafa.baydogan@boun.edu.tr),  by August 8th, 2016.

The subject of the email should be "2016 DM Best Paper Award Submission". Late submissions will not be accepted.

All awardees will make presentations at the INFORMS 2016 Annual Meeting in Nashville Tennessee (November 13-16, 2016). The winners will be announced at the INFORMS DM Business Meeting and all winners will receive an award certificate. Thank you ------------------------------

Ramin Moghaddass, PhD
Assistant Professor
Universuty of Miami
Miami FL

 

Past Awardees

INFORMS 2016 SAS Data Mining Best Paper Awards: The information on the four winners and their papers (presenting person's name is highlighted in bold) are as follows:

  • "Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery" by Tuo Zhao from John Hopkins University.

    Tuo_Zhao-min.jpg

    • "Robust PCA via L1-Norm Line Fitting" by Paul Brooks and Jose Dula from Virginia Commonwealth University.

      Paul_Brooks-min.jpg

    • "Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining" by Chitta Ranjan from Georgia Tech.

      Chitta_Ranjan-min.jpg

    • "Residual Useful Lifetime Prediction Using a Degradation Image Stream" by Xiaolei Fang from Georgia Tech

      Xiaolei_Fang-min.jpg

       

    • INFORMS 2015 Data Mining Best Student Paper Finalists: The information on the four finalists and their papers (presenting student's name is highlighted in bold) are as follows:

      • "Sparse Precision Matrix Selection for Fitting Gaussian Random Field Models to Large Data Sets" by Sam Davanloo Tajbakhsh, Enrique Del Castillo and Necdet Serhat  Aybat from Penn State University.

      • "Falling Rule Lists" by Fulton Wang and Cynthia Rudin from MIT.

      • "Sensor-Driven Condition-Based Generation Maintenance and Operations Scheduling" by Murat Yildirim and Nagi Gebraeel from Georgia Tech.

      • Winner: "When Wind Meets Turbines: A New Statistical Approach for Characterizing the Heterogeneous Wake Effects in Multi-turbine Wind Farms" by Mingdi You and   Eunshin Byon from University of Michigan.

    Here are some photos of the finalists: 

          

              

    • INFORMS 2014 Data Mining Best Student Paper Finalists: The review process is finalized. The information on the four finalists and their papers (presenting student's name is highlighted in bold) is as follows:

      • "Saddle Points and Accelerated Perceptron Algorithms", by Adams Wei Yu, Jaime Carbonell and Fatma Kilinc-Karzan

      • "Career Development Paths in Online Labor Markets", by Marios Kokkodis

      • "Image Defect Detection with Smooth-Sparse Decomposition", by Hao Yan, Kamran Paynabar, and Jianjun Shi

      • "Finding Short Peptide Substrates using Bayesian Active Learning", by Jialei Wang, Michael Burkart, Peter Frazier, Nathan Gianneschi, Michael Gilson, Nicholas Kosa, Lorillee Tallorin, and Pu Yang