| Introduction to the SAS Enterprise Miner Single-User Installation |
SAS
Enterprise Miner 6.1 contains a collection of sophisticated analysis tools
that have a common user-friendly interface that you can use to create and
compare multiple data mining models. Statistical tools include clustering,
Kohonen self-organizing maps (SOM), variable selection, trees, linear and
logistic regression, and neural networking. Data preparation tools include
outlier detection, variable transformations, data imputation, random sampling,
and the partitioning of data sets (into train, test, and validate data sets).
Advanced visualization tools enable you to quickly and easily examine large
amounts of data in multidimensional histograms and to graphically compare
modeling results. For more information, see the SAS Enterprise Miner online
Help.
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