Data Mining Using SAS Enterprise Miner
Randall Matignon
Sold by booksdeck, Santa clara, CA, U.S.A.
AbeBooks Seller since June 27, 2011
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Sold by booksdeck, Santa clara, CA, U.S.A.
AbeBooks Seller since June 27, 2011
Condition: New
Quantity: 1 available
Add to basketBrand new book. International edition printed overseas but with similar contents as compared to the US edition. Same day shipping with tracking.
Seller Inventory # 1208|9780470149010
The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner.
The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis.
Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include:
This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.
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