Decision Trees for Analytics Using SAS Enterprise Miner is probably the most complete remedy of choice tree principle, use, and purposes obtainable in a single straightforward-to-entry place. This book illustrates the appliance and operation of determination timber in business intelligence, data mining, business analytics, prediction, and information discovery. It explains intimately using determination timber as a data mining method and the way this system enhances and dietary supplements data mining approaches reminiscent of regression, in addition to different business intelligence purposes that incorporate tabular reviews, OLAP, or multidimensional cubes.
An expanded and enhanced launch of Decision Trees for Enterprise Intelligence and Knowledge Mining Using SAS Enterprise Miner, this book provides up-to-date remedies of boosting and high-efficiency forest approaches and rule induction. There’s a devoted part on the newest findings associated to bias discount in variable choice. It offers an exhaustive remedy of the top-to-finish strategy of choice tree development and the respective issues and algorithms, and it consists of discussions of key points in choice tree apply.
Analysts who’ve an introductory understanding of data mining and who’re wanting for a extra superior, in-depth take a look at the idea and strategies of a choice tree strategy to business intelligence and data mining will profit from this book.
This book is a part of the SAS Press program.