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Statistical Data Mining Using SAS Applications

George Fernandez
€192.20
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advanced SAS macro data mining
applied statistical modeling
artificial neural network
Author_George Fernandez
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CDA
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Data Mining
Data Mining Solutions
decision
discriminant analysis
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Error Count Estimates
exploratory data analysis
exploratory data techniques
exploratory factor analysis
Fa CT
Independent Validation Dataset
knowledge discovery
learning methods
logistic regression
Macro Input
management
models
multiple linear regression
multivariate analysis
Multivariate Normality
net
neural
Posterior Probability
PPE
principal component analysis
Prior Communality Estimates
Quadratic DF
regression diagnostics
regression modeling
retail
SAS
SAS Data
SAS Data File
SAS Dataset
SAS EG
SAS Enterprise Miner
SAS Macro
SAS ODS graphics
Scree Plot
software
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statistical data mining
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supervised learning methods
support
Test Plasma Glucose
unsupervised clustering
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Validation Dataset

Product details

  • ISBN 9781439810750
  • Weight: 806g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Jun 2010
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

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.
About George Fernandez

George Fernandez is a professor of applied statistical methods and the director of the Center for Research Design and Analysis at the University of Nevada in Reno.

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