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Decision Trees for Analytics Using SAS Enterprise Miner
book

Decision Trees for Analytics Using SAS Enterprise Miner

by Barry de Ville, Padraic Neville
July 2013
Beginner to intermediate
268 pages
7h 6m
English
SAS Institute
Content preview from Decision Trees for Analytics Using SAS Enterprise Miner

About These Authors

imageBarry de Ville is a Solutions Architect at SAS. His work with decision trees has been featured during several SAS users’ conferences and has led to the award of a U.S. patent on “bottom-up” decision trees. Previously, Barry led the development of the KnowledgeSEEKER decision tree package. He has given workshops and tutorials on decision trees at such organizations as Statistics Canada, the American Marketing Association, the IEEE, and the Direct Marketing Association.

imagePadraic Neville is a Principal Research Statistician Developer ...

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Publisher Resources

ISBN: 9781612903156