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Activity Number: 464
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract #313451
Title: Using R Analytics on Streaming Data
Author(s): Lou Bajuk-Yorgan*+ and Stephen Kaluzny
Companies: TIBCO Software and TIBCO Software
Keywords: Streaming data ; Real time ; Event driven ; R ; TERR ; TIBCO
Abstract:

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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