Data Mining in Agriculture

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting t...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Mucherino, Antonio (Autor), Papajorgji, Petraq (Autor), Pardalos, Panos M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Springer Optimization and Its Applications, 34
Temas:
Mathematical models.
Agriculture.
Data mining.
Operations research.
Management science.
Environmental sciences-Mathematics.
Mathematical Modeling and Industrial Mathematics.
Data Mining and Knowledge Discovery.
Operations Research, Management Science .
Mathematical Applications in Environmental Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Data Mining
  • Statistical Based Approaches
  • Clustering by -means
  • -Nearest Neighbor Classification
  • Artificial Neural Networks
  • Support Vector Machines
  • Biclustering
  • Validation
  • Data Mining in a Parallel Environment
  • Solutions to Exercises.

Ejemplares similares