Abstract Details
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Activity Number:
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464
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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Abstract #313451
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View Presentation
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Title:
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Using R Analytics on Streaming Data
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Author(s):
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Lou Bajuk-Yorgan*+ and Stephen Kaluzny
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Companies:
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TIBCO Software and TIBCO Software
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Keywords:
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Streaming data ;
Real time ;
Event driven ;
R ;
TERR ;
TIBCO
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Abstract:
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In real-time applications with streaming data, agility in responding to changing conditions is key. As new opportunities and threats emerge, companies want to update their real-time operations to use the best, most relevant statistical models to respond to those events. This presentation will demonstrate how TIBCO Streambase and TIBCO Enterprise Runtime for R (TERR) enable you to rapidly build, evaluate, deploy and update R-language predictive models in real-time, event-driven applications. Examples will include fraud detection & marketing upsell.
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Authors who are presenting talks have a * after their name.
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