Data Mining Using SAS Applications

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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!

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.

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Product Details

Table of Contents

1 Data Mining: A Gentle Introduction 1
2 Preparing Data for Data Mining 15
3 Exploratory Data Analysis 41
4 Unsupervised Learning Methods 79
5 Supervised Learning Methods: Prediction 151
6 Supervised Learning Methods: Classification 263
7 Emerging Technologies in Data Mining 343
App Instructions for Using the SAS Macros 353
Index 357
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  • Anonymous

    Posted July 29, 2003

    Almost too good to be true...

    This book shows you how to perform data mining or knowledge discovery in databases step by step by using the SAS. You¿re not either a data analysis expert or SAS expert (e.g., SAS programmer)? Don¿t be discouraged because the author includes enough concepts of statistical analyses to perform data mining. Moreover, the author provides detailed directions to use his user-friendly SAS macros, which don¿t require SAS experiences! This book is almost too good to be true.

    Was this review helpful? Yes  No   Report this review
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