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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 521 | Wed, 8/5/09, 2:00 PM - 3:50 PM | CC-155 |
| Boosting, Ensemble Learning, and Other Data-Mining Methods - Contributed - Papers | ||
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Section on Statistical Learning and Data Mining, Interface Foundation of North America |
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| Chair(s): Brian Shea, The University of Minnesota | ||
| 2:05 PM |
Distinct Counting with a Self-Learning Bitmap —  Aiyou Chen, Bell Labs, Alcatel-lucent; Jin Cao, Bell Labs, Alcatel-lucent
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| 2:20 PM |
Using Data Mining to Explore Seasonal Differences Between the US Current Employment Statistics Survey and the Quarterly Census of Employment and Wages — Gregory Erkens, Bureau of Labor Statistics
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| 2:35 PM |
Mining Financial Statements: Comparative Performance of Adaptive and Ensemble Models in Discovering Financial Statement Fraud — David G. Whiting, Brigham Young University; James V. Hansen, Brigham Young University; James B. McDonald, Brigham Young University; Conan Albrecht, Brigham Young University; Steve Albrecht, Brigham Young University
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| 2:50 PM |
GA-Boost: A Genetic Algorithm for Robust Boosting — Brian Gray, The University of Alabama; Dong-Yop Oh, The University of Alabama
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| 3:05 PM |
Ensemble-Based Semi-Supervised Learning with Optimal Feature Weighting — Joseph Retzer, Maritz Research
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| 3:20 PM |
Developing an Adaptive Individualized Therapy Trial for Life-Threatening Chronic Disease — Yiyun Tang, The University of North Carolina at Chapel Hill; Michael Kosorok, The University of North Carolina at Chapel Hill
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| 3:35 PM | Floor Discussion | |
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |