Book

List Price: $82.95
 Cat. #: C3456
 ISBN: 1584883456
 Number of Pages:  384

CD-ROM (!!!!! Sold Separately)

List Price: $89.95
Cat. #: C3790
ISBN: 1-58488-379-0

Publication Date: 12/23/2002
 

 Chapman & Hall / CRC

To Send E-mail to me:

 tc_email.gif (74668 bytes)

Last Modified:

04/27/2009 

Sign Guest Book

pages.gif (20076 bytes)

 

 

Add Me!

 to_top.gif (61 bytes)




 

Data Mining Using SAS Applications

George Fernandez   

Director, CRDA, University of Nevada, Reno, Nevada, USA

  *** Very important information for current "Online" version subscribers -Please click to the download link

***hot_job.gif (10279 bytes)  3-day workshops in Reno NV USA

 TECH 102 Exploratory Graphical Analysis and Predictive Modeling    May 19 - 21, 2009 (Tue. - Thu., 9 a.m. - 4 p.m.) Redfield Computer Lab (RM 110), 18600 Wedge Parkway Bldg. A  Reno - hands on workshop on using these macros

Download instructions are given in the book / CD-ROM

HOME SAS / STAT RESOURCES CRC-PRESS

Book Review

TOC

PREFACE

View sample chapter Download Book flyer (PDF file) Read it Online at STATSnetBase

UPDATES for CD-ROM

*** Major Update 04/15/07

SAS ver 9.13

****DOWNLOAD data and MACRO-Call Files

Updates

*** Very important information for current "Online" version subscribers -Please go to download page

***Updated 04/12/07

 

ORDER ONLINE:

 

Book price Comparison

Request for text book evaluation

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.

This companion CD-ROM ( sold separately) contains all of the datasets, macro call-files, and the actual SAS macro files used in the book. The author provides these files on CD to allow SAS programmers to modify the SAS codes to suit their individual needs and to use it on different platforms. Using the sample dataset, each SAS macro can generate output files in HTML, RTF, and PDF formats, enabling users to see first-hand the features of the macros.

 System Requirements: Windows® XP NT 4.0 or higher; 200 MHz Pentium processor; 62 MB RAM, CD-ROM drive

Software Requirements: Licensed SAS modules BASE, STAT, GRAPH, and IML, version 6.12 or higher; SAS/LE 2.0 ( Most features), Microsoft Excel 97/2003 or 5.0/95; Microsoft Word to view RTF output; Adobe Acrobat Reader to view PDF output; and Microsoft Internet Explorer or Netscape Navigator

 

tc_bar.gif (4491 bytes)