Data preparation for data mining using SAS /

Mostrar otras versiones (2)

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Refaat, Mamdouh
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Morgan Kaufmann Publishers, �2007.
Colección:Morgan Kaufmann series in data management systems.
Temas:
SAS (Computer file)
Data mining.
Exploration de donn�ees (Informatique)
COMPUTERS > Database Management > Data Mining.
Data mining
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 a 4500
001 SCIDIR_ocn156780417
003 OCoLC
005 20231117014935.0
006 m o d
007 cr cnu---unuuu
008 070718s2007 ne a ob 001 0 eng d
040 |a N$T  |b eng  |e pn  |c N$T  |d YDXCP  |d OCLCQ  |d IDEBK  |d E7B  |d FHM  |d OCLCQ  |d DKDLA  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCF  |d OCLCQ  |d OPELS  |d ZMC  |d OCLCQ  |d AZK  |d LOA  |d JBG  |d COCUF  |d AGLDB  |d Z5A  |d MOR  |d PIFAG  |d OTZ  |d OCLCQ  |d OCLCO  |d U3W  |d STF  |d WRM  |d D6H  |d OCLCQ  |d VTS  |d INT  |d OCLCQ  |d YOU  |d TKN  |d OCLCQ  |d LEAUB  |d M8D  |d UKCRE  |d VLY  |d OCLCQ  |d OCLCO  |d SFB  |d OCLCQ  |d OCLCO 
019 |a 162574120  |a 488132922  |a 507008077  |a 643578860  |a 648303369  |a 856949680  |a 961626981  |a 962628456  |a 966214951  |a 988524615  |a 991962744  |a 995025630  |a 1037704627  |a 1038670642  |a 1065995695  |a 1077976329  |a 1153495294  |a 1162281814  |a 1241769220  |a 1290070394  |a 1300560641 
020 |a 9780080491004  |q (electronic bk.) 
020 |a 0080491006  |q (electronic bk.) 
020 |a 9786611005382 
020 |a 6611005382 
020 |z 0123735777 
020 |z 9780123735775 
035 |a (OCoLC)156780417  |z (OCoLC)162574120  |z (OCoLC)488132922  |z (OCoLC)507008077  |z (OCoLC)643578860  |z (OCoLC)648303369  |z (OCoLC)856949680  |z (OCoLC)961626981  |z (OCoLC)962628456  |z (OCoLC)966214951  |z (OCoLC)988524615  |z (OCoLC)991962744  |z (OCoLC)995025630  |z (OCoLC)1037704627  |z (OCoLC)1038670642  |z (OCoLC)1065995695  |z (OCoLC)1077976329  |z (OCoLC)1153495294  |z (OCoLC)1162281814  |z (OCoLC)1241769220  |z (OCoLC)1290070394  |z (OCoLC)1300560641 
050 4 |a QA76.9.D343  |b R43 2007eb 
072 7 |a COM  |x 021030  |2 bisacsh 
082 0 4 |a 006.3/12  |2 22 
100 1 |a Refaat, Mamdouh. 
245 1 0 |a Data preparation for data mining using SAS /  |c Mamdouh Refaat. 
260 |a Amsterdam ;  |a Boston :  |b Morgan Kaufmann Publishers,  |c �2007. 
300 |a 1 online resource (xxi, 399 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a The Morgan Kaufmann series in data management systems 
504 |a Includes bibliographical references (pages 373-374) and index. 
505 0 |a Contents -- 1 Introduction -- 2 Tasks and Data Flow -- 3 Review of Data Mining Modeling Techniques -- 4 SAS Macros: A Quick Start -- 5 Data Acquisition and Integration -- 6 Integrity Checks -- 8 Sampling and Partitioning -- 9 Data Transformations -- 10 Binning and Reduction of Cardinality -- 11 Treatment of Missing Values -- 12 Predictive Power and Variable Reduction I. 13 Analysis of Nominal and Ordinal Variables -- 14 Analysis of Continuous Variables -- 15 Principal Component Analysis (PCA) 2. 16 Factor Analysis -- 17 Predictive Power and Variable Reduction II. 18 Putting it All Together -- A Listing of SAS Macros. 
520 8 |a 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. 
588 0 |a Print version record. 
546 |a English. 
630 0 0 |a SAS (Computer file) 
650 0 |a Data mining. 
650 6 |a Exploration de donn�ees (Informatique)  |0 (CaQQLa)201-0300292 
650 7 |a COMPUTERS  |x Database Management  |x Data Mining.  |2 bisacsh 
630 0 7 |a SAS (Computer file)  |2 fast  |0 (OCoLC)fst01364029 
650 7 |a Data mining  |2 fast  |0 (OCoLC)fst00887946 
776 0 8 |i Print version:  |a Refaat, Mamdouh.  |t Data preparation for data mining using SAS.  |d Amsterdam ; Boston : Morgan Kaufmann Publishers, �2007  |z 0123735777  |z 9780123735775  |w (DLC) 2006023681  |w (OCoLC)70707784 
830 0 |a Morgan Kaufmann series in data management systems. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123735775  |a Elsevier / ScienceDirect  |z Texto completo 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123735775  |z Texto completo 

Ejemplares similares