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Synopsis
Using SAS Enterprise Miner, Barry de Ville's Decision Trees for Business Intelligence and Data Mining illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that...
About the Author
Barry de Ville is a technical and analytical consultant at SAS Institute and a two-time SAS Sales Innovation Award Winner. Previously he developed the KnowledgeSEEKER decision tree package. He has given workshops and tutorials on data mining at such organizations as Statistics Canada, the American Marketing Association, the IEEE, and the Direct Marketing Association.
Review
"Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner provides detailed principles of how decision tree algorithms work from an operational angle and directly links these instructions to the use of SAS Enterprise Miner. In this way, it fills the gap between classical data mining texts and SAS Enterprise Miner training materials." --Zhangxi Lin, Associate Professor of Information Systems
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- PublisherSas Inst
- Publication date2006
- ISBN 10 1590475674
- ISBN 13 9781590475676
- BindingPaperback
- LanguageEnglish
- Number of pages240
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