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Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
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- Autorius: Gerhard Svolba
- Leidėjas: SAS Institute
- Metai: 2006
- Puslapiai: 440
- ISBN-10: 1599940477
- ISBN-13: 9781599940472
- Formatas: 20.8 x 27.8 x 2 cm, minkšti viršeliai
- Kalba: Anglų
Atsiliepimai
Aprašymas
Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!
- Autorius: Gerhard Svolba
- Leidėjas: SAS Institute
- Metai: 2006
- Puslapiai: 440
- ISBN-10: 1599940477
- ISBN-13: 9781599940472
- Formatas: 20.8 x 27.8 x 2 cm, minkšti viršeliai
- Kalba: Anglų
Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!
Atsiliepimai