Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner - Softcover

Ville, Barry De

Softcover

ISBN 10: 1590475674 ISBN 13: 9781590475676

Publisher: Sas Inst, 2006

Synopsis

Using SAS Enterprise Miner, this example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, 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 other business intelligence applications such as OLAP cubes; in addition, it explains other data mining approaches, like regression, cluster analysis, and neural networks. The book contains examples that illustrate how various aspects of decision trees are constructed, how they operate, how to interpret them, and how to use them in a range of predictive and descriptive applications. Many of the examples are drawn from purchase behavior, risk assessment, and business-to-business marketing. The target audience for this book includes analysts who already have an introductory understanding of data mining and who want to benefit from a more advanced, in-depth look at the theory and methods of a decision-tree approach to data mining and business intelligence.

About this title

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.

Edition details

• Publisher: Sas Inst
• Publication date: 2006
• Language: English
• ISBN 10: 1590475674
• ISBN 13: 9781590475676
• Binding: Paperback
• Number of pages: 240