Predictive Data Mining Models
This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Singapore :
Springer Singapore : Imprint: Springer
2017.
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| Colección: | Computational Risk Management,
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b36136980*spi |
| Sumario: | This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access. |
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| Descripción Física: | XI, 102 p. 54 illus., 48 illus. in color |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9789811025433 |
