Statistical Data Mining Using SAS Applications, Second Edition

George Fernandez

June 18, 2010 by CRC Press
Reference - 477 Pages - 151 B/W Illustrations
ISBN 9781439810750 - CAT# K10535
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

USD$109.95

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Features

  • Includes 13 user-friendly SAS macro applications for performing complete data mining tasks
  • Shows how to quickly carry out an entire data analysis
  • Covers advanced data exploration, such as SAS ODS graphics
  • Presents tools for fast, easy-to-use, and innovative model selection
  • Contains nearly 150 high quality analytical figures that are helpful in detecting trends and patterns in a large database
  • Provides sample data files for download at www.cabnr.unr.edu/gf/dm.html

Summary

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author’s website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively.

New to the Second Edition—General Features

  • Access to SAS macros directly from desktop
  • Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition
  • Reorganization of all help files to an appendix
  • Ability to create publication quality graphics
  • Macro-call error check

New Features in These SAS-Specific Macro Applications

  • Converting PC data files to SAS data (EXLSAS2 macro)
  • Randomly splitting data (RANSPLIT2)
  • Frequency analysis (FREQ2)
  • Univariate analysis (UNIVAR2)
  • PCA and factor analysis (FACTOR2)
  • Multiple linear regressions (REGDIAG2)
  • Logistic regression (LOGIST2)
  • CHAID analysis (CHAID2)

Requiring no experience with SAS programming, this resource supplies instructions and tools for quickly performing exploratory statistical methods, regression analysis, logistic regression multivariate methods, and classification analysis. It presents an accessible, SAS macro-oriented approach while offering comprehensive data mining solutions.