This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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500
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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Abstract - #308913 |
Title:
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Programming in SAS
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Author(s):
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Robert Chengwen Chu and Chris Stephens*+
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Companies:
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SAS Institute
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Address:
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, , ,
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Keywords:
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sas ;
model ;
manager ;
predictive ;
management
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Abstract:
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Predictive models are critical corporate assets. Effective use of those models could significantly contribute to the bottom lines or even survival of corporations. Predictive models do not remain static over the course of model deployment. They can become stale due to a variety of internal and external factors. This talk will focus on model management issues such as model performance monitoring, model re-training, and model-update transparency in production scoring systems. SASĀ® Model Manager is used to illustrate key points presented in the talk.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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