HOME | BESTSELLERS | NEW RELEASES | PRICE WATCH | FICTION | BIOGRAPHIES | E-BOOKS |
+ PRICE WATCH
* Amazon pricing is not included in price watch
Data Mining Using SAS Enterprise Miner Book
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:The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS proceduresA step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environmentDescriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-makingComplete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodesAn accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming codeThis 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.Read More
from£N/A | RRP: * Excludes Voucher Code Discount Also available Used from £N/A
- 0470149019
- 9780470149010
- Randall Matignon
- 24 August 2007
- Wiley-Blackwell
- Paperback (Book)
- 564
As an Amazon Associate we earn from qualifying purchases. If you click through any of the links below and make a purchase we may earn a small commission (at no extra cost to you). Click here to learn more.
Would you like your name to appear with the review?
We will post your book review within a day or so as long as it meets our guidelines and terms and conditions. All reviews submitted become the licensed property of www.find-book.co.uk as written in our terms and conditions. None of your personal details will be passed on to any other third party.
All form fields are required.