Data mining : practical machine learning tools and techniques
| Autor Principal: | |
|---|---|
| Otros autores o Colaboradores: | , , |
| Formato: | Libro |
| Lengua: | inglés |
| Datos de publicación: |
Amsterdam :
Morgan Kaufmann,
2011
|
| Edición: | 3rd ed. |
| Temas: | |
| Acceso en línea: | Consultar en el Cátalogo |
| Notas: | Incluye índice y bibliografía |
| Descripción Física: | xxxiii, 629 p. : il. ; 24 cm. |
| ISBN: | 9780123748560 |
Tabla de Contenidos:
- Part I. Machine Learning Tools and Techniques:
- 1. Whats iIt all about?
- 2. Input: concepts, instances, and attributes
- 3. Output: knowledge representation
- 4. Algorithms: the basic methods
- 5. Credibility: evaluating whats been learned
- Part II. Advanced Data Mining:
- 6. Implementations: real machine learning schemes
- 7. Data transformation
- 8. Ensemble learning
- 9. Moving on: applications and beyond
- Part III. The Weka Data MiningWorkbench:
- 10. Introduction to Weka
- 11. The explorer
- 12. The knowledge flow interface
- 13. The experimenter
- 14 The command-line interface
- 15. Embedded machine learning
- 16. Writing new learning schemes
- 17. Tutorial exercises for the weka explorer.