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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.-- Publisher's website
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A Practical Guide to Data Mining for Business and Industry, Andrea Ahlemeyer-Stubbe
- Idioma
- Publicado en
- 2014
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- Título
- A Practical Guide to Data Mining for Business and Industry
- Idioma
- Inglés
- Autores
- Andrea Ahlemeyer-Stubbe
- Editorial
- Wiley, J
- Publicado en
- 2014
- Formato
- Tapa dura
- Páginas
- 324
- ISBN10
- 1119977134
- ISBN13
- 9781119977131
- Serie
- Etiquetas
- No ficción, Comercio, Negocios & Gestión
- Calificación
- 3,5 de 5
- Descripción
- 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.-- Publisher's website