Data mining : practical machine learning tools and techniques /
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work o...
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Burlington, MA :
Morgan Kaufmann,
©2011.
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Edición: | 3rd ed. |
Colección: | Morgan Kaufmann series in data management systems.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- What's it all about?
- Input : concepts, instances, and attributes
- Output : knowledge representation
- Algorithms : the basic methods
- Credibility : evaluating what's been learned
- Implementations : real machine learning schemes
- Data transformation
- Ensemble learning
- Moving on : applications and beyond
- Introduction to Weka
- The explorer
- The knowledge flow interface
- The experimenter
- The command-line interface
- Embedded machine learning
- Writing new learning schemes
- Tutorial exercises for the weka explorer.