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Activity Number:
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551
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #303714 |
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Title:
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Predictive Analytics and Data Mining: The Software Makers
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Author(s):
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Dean Abbott*+ and Daniel Fylstra*+ and Ralf Klinkenberg*+ and Jon Kim Beck*+ and Dan Steinberg*+ and David Smith*+ and Thomas Hill*+ and Wayne Thompson*+
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Companies:
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Abbott Analytics and Frontline Systems and IBM and Rapid-I and Salford Systems and Revolution Analytics and StatSoft and SAS Institute
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Address:
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P.O. Box 22536, San Diego, CA, 22903, USA , , , , , , , , , 968 Via Excelencia, San Diego, CA, 92126, United States , , , , , , , , ,
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Keywords:
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Data Mining ;
Revolution R ;
Enterprise Miner ;
XLMiner ;
STATISTICA Data Miner ;
CART ;
RapidMiner
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Abstract:
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Senior executives of major predictive analytics and data mining software firms come together for a panel discussion. Data miners and analysts can hear firsthand the perspectives of the founders, CEO's, and other senior executives at Frontline Systems, Revolution Analytics (R), Rapid-I, Salford Systems, SAS, StatSoft, and IBM. "Big data" is a rapidly evolving field - so what are these key decision-makers hearing from customers? What are their own plans? Where do they think predictive analytics is headed? What will surprise us? The format will be a dynamic panel-style question/answer session, moderated by industry specialist Dean Abbott (noted for his vendor-neutral workshops on data mining). Audience questions are accepted in advance (email the organizer, peter.bruce@statistics.com) and will be worked into the program.
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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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