JSM 2012 Online Program

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*104 !**	Mon, 7/30/2012, 8:30 AM - 10:20 AM	HQ-Sapphire EF
Predicting for Profit: Data Modeling Competitions on Kaggle.com — Invited Papers
General Methodology , Section on Statistical Computing , International Indian Statistical Association , Statistics Surveys Online Journal
Organizer(s): Mark E Glickman, Boston University School of Public Health
Chair(s): Chris Volinsky, AT&T Shannon Laboratory
8:35 AM	Increasing Innovation Using Data Mining Competitions — Jeremy Howard, Kaggle
8:55 AM	Data Analysis Contests: From Good to Better? — Charles Elkan, University of California at San Diego
9:15 AM	Using a Crowdsourcing Contest to Find a More Predictive Chess Rating System: The Deloitte/Fide Chess Rating Challenge — Jeff Sonas, Sonas Consulting
9:40 AM	Predicting Travel Times for the M4 Highway in Sidney: How We Won Kaggle.com's First $10,000 Data Mining Challenge — José Pablo González-Brenes, Carnegie Mellon University
10:05 AM	Discussant: Mark E Glickman, Boston University School of Public Health

2012 JSM Online Program Home

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