Data preparation for data mining using SAS

Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining view...

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1. Verfasser: Refaat, Mamdouh (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Amsterdam Boston Morgan Kaufmann Publishers © 2007
Schriftenreihe:Morgan Kaufmann series in data management systems
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spelling Refaat, Mamdouh Verfasser aut
Data preparation for data mining using SAS Mamdouh Refaat
Amsterdam Boston Morgan Kaufmann Publishers © 2007
1 online resource (xxi, 399 pages) illustrations
txt rdacontent
c rdamedia
cr rdacarrier
Morgan Kaufmann series in data management systems
Includes bibliographical references (pages 373-374) and index
Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little how to information? And are you, like most analysts, preparing the data in SAS? This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection. FEATURES * A complete framework for the data preparation process, including implementation details for each step. * The complete SAS implementation code, which is readily usable by professional analysts and data miners. * A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction. * Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros. * CD includes dozens of SAS macros plus the sample data and the program for the book's case study
SAS (Computer file)
SAS (Computer file) fast
COMPUTERS / Database Management / Data Mining bisacsh
Data mining fast
Data mining
Erscheint auch als Druck-Ausgabe 0123735777
Erscheint auch als Druck-Ausgabe 9780123735775
http://www.sciencedirect.com/science/book/9780123735775 Verlag URL des Erstveröffentlichers Volltext
spellingShingle Refaat, Mamdouh
Data preparation for data mining using SAS
SAS (Computer file)
SAS (Computer file) fast
COMPUTERS / Database Management / Data Mining bisacsh
Data mining fast
Data mining
title Data preparation for data mining using SAS
title_auth Data preparation for data mining using SAS
title_exact_search Data preparation for data mining using SAS
title_full Data preparation for data mining using SAS Mamdouh Refaat
title_fullStr Data preparation for data mining using SAS Mamdouh Refaat
title_full_unstemmed Data preparation for data mining using SAS Mamdouh Refaat
title_short Data preparation for data mining using SAS
title_sort data preparation for data mining using sas
topic SAS (Computer file)
SAS (Computer file) fast
COMPUTERS / Database Management / Data Mining bisacsh
Data mining fast
Data mining
topic_facet SAS (Computer file)
COMPUTERS / Database Management / Data Mining
Data mining
url http://www.sciencedirect.com/science/book/9780123735775
work_keys_str_mv AT refaatmamdouh datapreparationfordataminingusingsas