Data Mining Using SAS Applications

Data Mining Using SAS Applications

by George Fernandez, Fernandez Fernandez
     
 

ISBN-10: 1584883456

ISBN-13: 9781584883456

Pub. Date: 01/01/2003

Publisher: Springer US

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 yet user-friendly SAS macro-call files. These methods stress the use of

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Overview

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 yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data.

  • 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

    The text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes!

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    Product Details

    ISBN-13:
    9781584883456
    Publisher:
    Springer US
    Publication date:
    01/01/2003
    Series:
    Chapman and Hall/CRC Data Mining and Knowledge Discovery Series
    Edition description:
    Softcover reprint of the original 1st ed. 2003
    Pages:
    367
    Product dimensions:
    9.21(w) x 6.14(h) x 0.88(d)

    Table of Contents

    1Data Mining: A Gentle Introduction1
    2Preparing Data for Data Mining15
    3Exploratory Data Analysis41
    4Unsupervised Learning Methods79
    5Supervised Learning Methods: Prediction151
    6Supervised Learning Methods: Classification263
    7Emerging Technologies in Data Mining343
    AppInstructions for Using the SAS Macros353
    Index357

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