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.
Industry Reviews
Praise for the First Edition "The macros integrate nicely with SAS's output delivery system ! . this is a book that could serve as an easy-to read introduction to some classical statistical techniques that are used in data mining, and, with the associated macros, provide an opportunity to see those techniques in action." --Journal of the American Statistical Association, June 2004, Vol. 99, No. 466 "!Use of these data mining SAS macros facilitated reliable conversion, examination, and analysis of the data, and selection of best statistical models despite the great size of the data sets. !" --Christopher Ross, US Bureau of Land Management "An excellent treatment of data mining using SAS applications is provided in this book. ! This book would be suitable for students (as a textbook), data analysts, and experienced SAS programmers. No SAS programming experience, however, is required to benefit from the book." --Computing Reviews, June 2003 "! the book provides a welcome contrast to treatments of data mining that focus on only the most novel aspects of the subject. Dr. Fernandez is quite right in pointing out that a lot of data mining can be carried out by standard statistical methods in familiar packages. The book also has a healthy emphasis on the use of cross validation (a hallmark of data mining). This and other concepts are well illustrated with numerous examples. Finally, the book demonstrates that the fancy (and expensive) user interfaces sported by many data mining work benches are not essential to the data mining enterprise and might even be counterproductive." --Computational Statistics, 2005
