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Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner /
Autor principal: | |
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Otros Autores: | , |
Formato: | Libro |
Lenguaje: | English |
Publicado: |
Hoboken, N.J. :
Wiley,
2010.
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Edición: | 2nd ed. |
Materias: |
Tabla de Contenidos:
- Introduction
- Overview of the data mining process
- Data visualization
- Dimension reduction
- Evaluating classification and predictive performance
- Multiple linear regression
- knearest neighbors (kNN)
- Naive bayes
- Classification and regression trees
- Logistic regression
- Neural nets
- Discriminant analysis
- Association rules
- Cluster Analysis
- Handling time series
- Regression-based forecasting
- Smoothing methods
- Cases.