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Predictive modeling with SAS Enterprise Miner : practical solutions for business applications /

Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. --

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sarma, Kattamuri S. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, [2017]
Edición:Third edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a Chapter 1: Research Strategy -- Chapter 2: Getting Started with Predictive Modeling -- Chapter 3: Variable Selection and Transformation of Variables -- Chapter 4: Building Decision Tree Models to Predict Response and Risk -- Chapter 5: Neural Network Models to Predict Response and Risk -- Chapter 6: Regression Models -- Chapter 7: Comparison and Combination of Different Models -- Chapter 8: Customer Profitability -- Chapter 9: Introduction to Predictive Modeling with Textual Data. 
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