Decision Trees for Analytics Using SAS Enterprise Miner

Format:

Book

Author/Creator:

De Ville, Barry, Author.

Contributor:

Neville, Padraic, Contributor.

SAS Institute.

Language:

English

Subjects (All):

Enterprise miner.

SAS (Computer file).

Data mining--Computer programs.

Data mining.

Decision trees--Computer programs.

Decision trees.

Business intelligence--Computer programs.

Business intelligence.

Forecasting--Computer programs.

Forecasting.

Regression analysis.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Other Title:

Using SAS Enterprise Miner

Place of Publication:

[Place of publication not identified] SAS Institute 2013

Language Note:

English

System Details:

text file

Summary:

Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. 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. An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner, this book adds up-to-date treatments of boosting and high-performance forest approaches and rule induction. There is a dedicated section on the most recent findings related to bias reduction in variable selection. It provides an exhaustive treatment of the end-to-end process of decision tree construction and the respective considerations and algorithms, and it includes discussions of key issues in decision tree practice. Analysts who have an introductory understanding of data mining and who are looking for a more advanced, in-depth look at the theory and methods of a decision tree approach to business intelligence and data mining will benefit from this book. This book is part of the SAS Press program.

Contents:

Decision trees : what are they?

Descriptive, predictive, and explanatory analyses

The mechanics of decision tree construction

Business intelligence and decision trees

Theoretical issues in the decision tree growing process

The integration of decision trees with other data mining approaches.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

ISBN:

9781612902524

1612902529

OCLC:

906578300