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Détails
| Type d’ouvrage : | Ressource Internet |
|---|---|
| Format : | Livre, Ressource Internet |
| Tous les auteurs / collaborateurs : |
Mamdouh Refaat |
| ISBN : | 9780123735775 0123735777 |
| Numéro OCLC : | 70707784 |
| Description : | xxi, 399 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.) |
| Contenu : | 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 |
| Titre de collection : | Morgan Kaufmann series in data management systems. |
| Responsabilité : | Mamdouh Refaat. |
| Plus d’informations : |
Critiques
Synopsis de l’éditeur
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 Lire la suite...
