2016 Awards
INFORMS 2016 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:
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"Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery" by Tuo Zhao from John Hopkins University.
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"Robust PCA via L1-Norm Line Fitting" by Paul Brooks and Jose Dula from Virginia Commonwealth University.
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"Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining" by Chitta Ranjan from Georgia Tech.
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"Residual Useful Lifetime Prediction Using a Degradation Image Stream" by Xiaolei Fang from Georgia Tech
