Applied Data Mining for Forecasting Using SAS
Published on 31. July 2012
Book
Paperback/Softback
336 pages
978-1-60764-662-4 (ISBN)
Description
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable.
More details
Language
English
Place of publication
United States
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
black & white illustrations
Dimensions
Height: 280 mm
Width: 210 mm
Thickness: 19 mm
Weight
824 gr
ISBN-13
978-1-60764-662-4 (9781607646624)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Tim Rey | Arthur Kordon | Chip Wells
Applied Data Mining for Forecasting Using SAS
E-Book
07/2012
SAS Institute
€52.99
Available for download
Persons
Tim Rey is Director of Advanced Analytics at The Dow Chemical Company, where he sets strategy and manages resources to deliver advanced analytics to Dow for strategic gain. A SAS user since 1979 and a JMP user since 1986, he specializes in JMP, SAS Enterprise Guide, SAS/STAT, SAS/ETS, SAS Enterprise Miner, and SAS Forecast Server software. He received his MS in Forestry Biometrics (Statistics) from Michigan State University. A co-chair of M2008 and F2010, he presented keynote addresses at PBLS 2007, M2007, and A2007 Europe. In addition, he is co-author of several papers, has appeared on multiple panels, and has given numerous talks at SAS conferences and other events as well as universities.