Applied Data Mining for Forecasting Using SAS
By Tim Rey, Arthur Kordon, Chip Wells
Publisher: SAS Institute
Final Release Date: July 2012
Pages: 336

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.

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