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October 25, 2007

Data Mining Using SAS Enterprise Miner

Data Mining Using SAS® Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS® Enterprise Miner v4.3. This first-of-a-kind book explains every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various nodes, followed by detailed explanations of the option settings and results that are listed within each node.

Highlights of the book are the following:
· An overview to the Sampling nodes in SAS® Enterprise Miner to
read, randomly sample, and partition the data.
· An overview to the Exploring nodes that are used as a preliminary
step in data mining to graphically view the data.
· An overview to the Modifying nodes that are designed to perform
preliminary modifications to the SAS data set such as filtering the
data, estimating missing values, and transforming variables.
· An overview to the various Modeling nodes and modeling designs
that can be performed within SAS® Enterprise Miner such as least-
squares, logistic regression, neural network, decision tree, nearest-
neighbors, and ensemble modeling just to name a few.
· An overview to the Assessment node that evaluates and assesses
the results that are generated from the various models.
· An overview to the remaining utility nodes such as scoring the
data, perform SAS programming within the process flow, and
create subdiagrams to simplify the appearance of the process flow.

To order call 877-762-2974 or visit http://www.Wiley.com

Resources | By SAS | 10:25 AM

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