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OverviewFull Product DetailsAuthor: Mamdouh Refaat (Data Mining and Business Analytics Consultant)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Dimensions: Width: 19.10cm , Height: 2.70cm , Length: 23.50cm Weight: 0.870kg ISBN: 9780123735775ISBN 10: 0123735777 Pages: 424 Publication Date: 27 October 2006 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Print Availability: Out of stock ![]() Table of ContentsContents 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 MacrosReviewsIt is easy to write books that address broad topics and ideas leaving the reader with the question Yes, but how? By combining a comprehensive guide to data preparation for data mining along with specific examples in SAS, Mamdouh's book is a rare find-a blend of theory and the practical at the same time. As anyone who has mined data will confess, 80% of the problem is in data preparation; Mamdouh addresses this difficult subject with strong practical techniques and methods. If you are working on an SAS data mining project, this book is a must! If you are working on any data mining project, the techniques and methods will be a guiding light! --Frank Byrum, Cormine Intelligent Data, LLC It is easy to write books that address broad topics and ideas leaving the reader with the question Yes, but how? By combining a comprehensive guide to data preparation for data mining along with specific examples in SAS, Mamdouh's book is a rare finda blend of theory and the practical at the same time. As anyone who has mined data will confess, 80% of the problem is in data preparation; Mamdouh addresses this difficult subject with strong practical techniques and methods. If you are working on an SAS data mining project, this book is a must! If you are working on any data mining project, the techniques and methods will be a guiding light! --Frank Byrum, Chief Scientist, CorMine Intelligent Data, LLC Author InformationMamdouh Refaat is a data mining and business analytics consultant advising major organizations in North America and Europe. He has held several positions in consulting organizations and software vendors, including the director of consulting services at ANGOSS Software Corporation, a global data mining software and service provider. During his career, Mamdouh has managed numerous data mining consulting projects in marketing, CRM, and credit risk for Fortune 500 organizations in North America and Europe. In addition, he has delivered over 50 professional training courses in data mining and business analytics. Mamdouh holds a Ph.D. in Engineering from the University of Toronto, and an MBA from the University of Leeds.During his career, Mamdouh has managed numerous data mining consulting projects in marketing, CRM, and credit risk for Fortune 500 organizations in North America and Europe. In addition, he has delivered over 50 professional training courses in data mining and business analytics.Mamdouh holds a PhD in Engineering from the University of Toronto, and an MBA from the University of Leeds. Tab Content 6Author Website:Countries AvailableAll regions |