Customer and business analytics : applied data mining for business decision making using R

Customer and business analytics applied data mining for business decision making using R

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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

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Detalles Bibliográficos
Otros Autores: Putler, Daniel S., author (author), Krider, Robert E., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis 2012.
Edición:1st edition
Colección:Chapman & Hall/CRC the R series (CRC Press)
Materias:
Database marketing > Software.
Data mining.
Decision making > Data processing.
R (Computer program language)
Database management.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628204506719
Descripción
Sumario:Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (314 p.)
Bibliografía:Includes bibliographical references.
ISBN:9781498759700
9780429185687
9781466503960

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