SAS Data Mining Best Paper Award

2016 Winner(s)

Winning material: “Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery”

2016 Winner(s)

Winning material: “Robust PCA via L1-Norm Line Fitting”

2016 Winner(s)

Winning material: “Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining”

2016 Winner(s)

Winning material: “Residual Useful Lifetime Prediction Using a Degradation Image Stream”

Purpose of the Award


Past Awardees

2016 Winner(s)
Tuo Zhao, Johns Hopkins University
Paul Brooks, Virginia Commonwealth University
Chitta Ranjan, George Institute of Technology
Xiaolei Fang, Georgia Institute of Technology