JSM 2010 Online Program

637	Thu, 8/5/2010, 8:30 AM - 10:20 AM	CC-202 (West)
Longitudinal Data Mining — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Crystal Linkletter, Brown University
8:35 AM	Time Series Data Mining Through Automatic Forecasting and Decomposition — Shu-Ngai Yeung, AT&T Labs ; Tom Siu-Tong Au, AT&T Labs ; Guang Qin Ma, AT&T Labs ; William Pepe, AT&T Labs
8:50 AM	New Tuning Methods for the Architecture of Neural Network Model with Application to Bankruptcy Prediction — Chulwoo Jeong, Sogang University ; Myung Suk Kim, Sogang University ;
9:05 AM	A Bayesian Self-Controlled Case Series Method for Large-Scale Longitudinal Data in Drug Safety Surveillance — Shawn Evelyn Simpson, Columbia University ; David Madigan, Columbia University
9:20 AM	Classification of Long Memory Processes: A Simulation Study — Ritaja Sur, University of Maryland ; Benjamin Kedem, University of Maryland
9:35 AM	Nonlinear Regression Modeling and Detecting Change Points via Regularized Basis Expansions — Shohei Tateishi, Kyushu University ; Sadanori Konishi, Kyushu University
9:50 AM	Anomaly Detection Using Fusion of Graph Invariants on a Time Series of Graphs — Youngser Park, The Johns Hopkins University ; Carey E. Priebe, The Johns Hopkins University ; Abdou Youssef, The George Washington University
10:05 AM	Floor Discussion

2010 JSM Online Program Home

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