Product Description

Using SAS Enterprise Miner, this book 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 incorporate tabular reports, OLAP, or multidimensional cubes. Examples show 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. The examples are drawn from the areas of purchase behavior, risk assessment, and business-to-business marketing. This book also describes the various disciplines that contributed to the development of decision trees and how, even today, decision trees can be used as a form of machine intelligence. Examples of using and interpreting graphic decision trees as executable rules are provided. The target audience includes analysts who 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 business intelligence and data mining.

Product Details

• Amazon Sales Rank: #411014 in Books
• Published on: 2006-10-30
• Released on: 2006-10-30
• Original language: English
• Number of items: 1
• Binding: Paperback
• 240 pages

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

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.

Customer Reviews

For descent understanding of Decision Trees using SAS
A good book to understand decision trees using SAS e-miner. I wish it could have more literature on the splitting algorithms i.e. Gini, Entropy, Chisquare.
The book along with SAS data mining material or Data Mining book by Larose is a good resource to understand Decision Tree.