KDD 2014

LUDIA: An Aggregate-Constrained Low-Rank Reconstruction Algorithm to Leverage Publicly Released Health Data
yubin park, the university of texas at austin; Joydeep Ghosh, the university of texas at austin;

Modeling Professional Similarity by Mining Professional Career Trajectories
Ye Xu, Dartmouth College; Zang Li, LinkedIn Corporation; Abhishek Gupta, LinkedIn Corporation; Ahmet Bugdayci, LinkedIn Corporation; Anmol Bhasin, LinkedIn Corporation;
Unsupervised Learning of Disease Progression Models
Xiang Wang, IBM Research; David Sontag, New York University; Fei Wang, IBM Research;

Scalable Noise Mining in Long-Term Electrocardiographic Time-Series to Predict Death Following Heart Attacks
Chih-Chun Chia, University of Michigan, Ann Arbor; Zeeshan Syed, University of Michigan, Ann Arbor;

Marble: High-throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization
Joyce C Ho, The University of Texas at Austin; Joydeep Ghosh, The University of Texas at Austin; Jimeng Sun, Georgia Institute of Technology;

FUNNEL: Automatic Mining of Spatially Coevolving Epidemics
Yasuko Matsubara, Kumamoto University; Yasushi Sakurai, Kumamoto University; Willem G. van Panhuis, University of Pittsburgh; Christos Faloutsos, Carnegie Mellon University;

From Micro to Macro: Data Driven Phenotyping by Densification of Longitudinal Electronic Medical Records
Jiayu Zhou, Arizona State University; Fei Wang, IBM T.J. Watson Research Center; Jianying Hu, IBM T.J. Watson Research Center; Jieping Ye, Arizona State University;

Clinical Risk Prediction with Multilinear Sparse Logistic Regression
Fei Wang, IBM T. J. Watson Research Center; Ping Zhang, IBM T. J. Watson Research Center; Buyue Qian, IBM T. J. Watson Research Center; Xiang Wang, IBM T. J. Watson Research Center; Ian Davidson, IBM T. J. Watson Research Center;

Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease
James C Ross, Brigham and Women's Hospital, Harvard Medical School; Peter J Castaldi, Brigham and Women's Hospital, Harvard Medical School; Michael H Cho, Brigham and Women's Hospital, Harvard Medical School; Jennifer G Dy, Northeastern University;

 

Sleep Analytics and Online Selective Anomaly Detection
Tahereh Babaie, University of Sydney; Sanjay Chawla, University of Sydney; Romesh Abeysuriya, University of Sydney;

GLAD: Group Anomaly Detection in Social Media Analysis
Rose Yu, University of Southern California; Xinran He, University of Southern California; Yan Liu, University of Southern California;

FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data
Dehua Cheng, University of Southern California; Mohammad Taha Bahadori, University of Southern California; Yan Liu, University of Southern California;

Learning Time-Series Shapelets
Josif Grabocka, University of Hildesheim; Nicolas Schilling, University of Hildesheim; Martin Wistuba, University of Hildesheim; Lars Schmidt-Thieme, University of Hildesheim;

Utilizing Temporal Patterns for Estimating Uncertainty in Interpretable Early Decision Making
Mohamed F. Ghalwash, Temple University; Vladan Radosavljevic, Yahoo Labs; Zoran Obradovic, Temple University;