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Data Mining in Crystallography

Humans have been "manually" extracting patterns from data for centuries, but the increasing volume of data in modern times has called for more automatic approaches. Early methods of identifying patterns in data include Bayes' theorem (1700s) and Regression analysis (1800s). The prolif...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hofmann, D. W. M. (Editor ), Kuleshova, Liudmila N. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Structure and Bonding, 134
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Data Mining
  • Data Mining in Organic Crystallography
  • Data Mining for Protein Secondary Structure Prediction
  • Data Mining and Inorganic Crystallography
  • Data Bases, the Base for Data Mining.