Making sense of data : a practical guide to exploratory data analysis and data mining / Glenn J. Myatt
Tipo de material:
TextoDetalles de publicación: Hoboken : John Wiley & Sons, 2007 Descripción: XII, 280 p. : il. ; 24 cmISBN: 0-470-07471-XTema(s): Minería de datos | Estadística matemáticaResumen: Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.
| Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
|---|---|---|---|---|---|---|---|
| Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 519.2/MYA/mak (Navegar estantería(Abre debajo)) | Texto completo | Prestado | 02/05/2024 | 3742076353 | |
| Monografías | 03. BIBLIOTECA INGENIERÍA PUERTO REAL | 519.2/MYA/mak (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3743183838 |
Índice
Bibliografía: p. 273-274
Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.
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