Data Preprocessing in Data Mining
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Fur...
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2015.
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| Colección: | Intelligent Systems Reference Library ;
72. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33026117*spi |
Tabla de Contenidos:
- Introduction
- Data Sets and Proper Statistical Analysis of Data Mining Techniques
- Data Preparation Basic Models
- Dealing with Missing Values
- Dealing with Noisy Data
- Data Reduction
- Feature Selection
- Instance Selection
- Discretization
- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.
