Data Mining Using SAS Enterprise Miner(TM) introduces the reader to a wide variety of data mining techniques in SAS Enterprise Miner (TM). This first-of-a-kind book explains the purpose of -- and reasoning behind -- 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 SAS Enterprise Miner (TM) nodes, followed by detailed explanations of configuration settings that are located within each node. The end result of the authors meticulous presentation is a well crafted study guide on the various methods that one employs to both randomly sample and partition data within the process flow of SAS Enterprise Miner (TM).
Author Info RANDALL MATIGNON is Senior Clinical SAS/Microsoft Office VBA Programmer for Amgen in San Francisco (CA). He has over ten years of experience in automating pharmaceutical, health care and biotechnical company analysis process by linking SAS and Microsoft Office Excel/Word/Access/Powerpoint VBA applications to menu-driven statistical analysis applications designed from client specific requests. He is the author of Neural Network Modeling Using SAS Enterprise Miner, published in 2005. He has extensive knowledge of several programming languages ranging from S-Plus to PL-SQL.
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