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Data Preparation for Analytics Using SAS by Gerhard Svolba: NEW
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Standort: Elm City, North Carolina, USA
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eBay-Artikelnr.:376699872103
Artikelmerkmale
- Artikelzustand
- Pages
- 440
- Publication Date
- 2006-11-27
- Book Title
- Data Preparation for Analytics Using SAS
- ISBN
- 9781599940472
Über dieses Produkt
Product Identifiers
Publisher
SAS Institute
ISBN-10
1599940477
ISBN-13
9781599940472
eBay Product ID (ePID)
57116899
Product Key Features
Number of Pages
440 Pages
Language
English
Publication Name
Data Preparation for Analytics Using Sas
Publication Year
2006
Subject
Programming / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing, Databases / Data Mining, Probability & Statistics / Time Series, Enterprise Applications / General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Book, Other
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2007-275525
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.05574
Synopsis
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, 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!
LC Classification Number
HF5548.2.S875 2006
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