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Data Science Using Oracle Data Miner and Oracle R Enterprise Transform Your Business Systems into an Analytical Powerhouse /

Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Das, Sibanjan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario:Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes.
Descripción Física:XXII, 289 p. 318 illus., 289 illus. in color. online resource.
ISBN:9781484226148