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A practical guide to data mining for business and industry /

"Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodolog...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ahlemeyer-Stubbe, Andrea
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2014.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest."--
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781118763377
1118763378
9781118763728
1118763726
9781118763704
111876370X