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Author Rey, Tim.

Title Applied data mining for forecasting using SAS / Tim Rey, Arthur Kordon, Chip Wells.

Imprint Cary, N.C. : SAS Institute, 2012.

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (x, 324 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references (pages 313-316) and index.
Contents Why industry needs data mining for forecasting -- Data mining for forecasting work process -- Data mining for forecasting infrastructure -- Issues with data mining for forecasting application -- Data collection -- Data preparation -- A practitioner's guide to DMM methods for forecasting -- Model building: ARMA models -- Model building: ARIMAX or dynamic regression modes -- Model building: further modeling topics -- Model building: alternative modeling approaches -- An example of data mining for forecasting.
Note Print version record.
Summary 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. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs.
Subject SAS (Computer file)
SAS (Computer file)
SAS (Computer file) (OCoLC)fst01364029
Data mining.
Forecasting.
COMPUTERS -- Database Management -- Data Mining.
Data mining. (OCoLC)fst00887946
Forecasting. (OCoLC)fst00931721
Genre/Form Electronic books.
Added Author Kordon, Arthur K.
Wells, Chip.
SAS Institute.
Other Form: Print version: Rey, Tim. Applied data mining for forecasting using SAS. Cary, N.C. : SAS Institute, 2012 9781607646624 (OCoLC)805731870
ISBN 9781612900933 (electronic bk.)
1612900933 (electronic bk.)
1607646625
9781607646624
9781607646624
1607646625
Standard No. 9781607646624
AU@ 000051432935
AU@ 000051711807
DEBBG BV041121860
DEBSZ 396767877
GBVCP 751867284

 
    
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