Data preparation for data mining using SAS /

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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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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.
COMPUTERS > Database Management > Data Mining.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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