Predictive analytics and data mining : concepts and practice with RapidMiner /

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This book shows how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Topics include: exploratory data analysis; visualization; decision trees; rule induction; k-nearest neighbors; naive Bayesian; artificial neural networks; support vector machine...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kotu, Vijay (Autor), Deshpande, Balachandre (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Morgan Kaufmann, [2015]
Temas:
Data mining.
Consumer behavior.
Exploration de données (Informatique)
Consommateurs > Comportement.
Consumer behavior
Data mining
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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Predictive analytics and data mining : concepts and practice with RapidMiner /
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Predictive analytics and data mining : concepts and practice with RapidMiner /
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Predictive analytics and data mining : concepts and practice with RapidMiner /
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