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Data mining and predictive analytics /

"This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Larose, Daniel T. (Autor), Larose, Chantal D. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, [2015]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets."--
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:1118116194
9781118116197
9781118868676
1118868676
1118868706
9781118868706