Data Mining using SAS Applications by George Fernandez

From sasCommunity
Jump to: navigation, search

Learn How to

  • Perform complete data analysis in less than 15 minutes!
  • Learn how to convert PC databases to SAS data
  • Discover sampling techniques to create training and validation samples
  • Understand frequency data analysis for categorical data
  • Explore supervised and unsupervised learning
  • Master exploratory graphical techniques
  • Acquire model validation techniques in regression and classification

Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful, downloadable SAS macro-call files. These techniques stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data. With the SAS macro-call files, readers will learn sampling techniques to create training and validation samples; exploratory graphical techniques, frequency analysis for categorical data, unsupervised and supervised learning methods; model validation techniques for regression and classification, and converting PC databases to SAS data.

Experienced SAS programmers can also modify the SAS code to suit their needs and run it on different platforms. Sold separately, the CD-ROM contains datasets, macro call-files, and the actual SAS macro files.

Covers fundamental concepts before moving on to practical applications Provides user-friendly SAS macro-call files through a supporting Web site, which also contains tips, updates, datasets, and an e-mail support service Contains step-by-step instructions for performing data mining on sample datasets Includes instructions for performing complete data analysis, including sampling, data exploration, violation checking, model validations, and options for report generation.


Submitted by: Professor George Fernandez: Director, Center for Research Design and Analysis, University of Nevada Reno SAS / STAT resources