JSM 2012 Online Program
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Online Program HomeActivity Details
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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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