Data mining in crystallography

Data mining in crystallography

Hofmann, D.W.M.
Kuleshova, Liudmila N.

166,35 €(IVA inc.)

This series presents critical reviews of the present position and future trends in modern chemical research concerned with chemical structure and bonding Short and concise reports, each written by the world's renowned experts Still valid and useful after 5 or 10 years More information as well as the electronicversion of the whole content available at: springerlink.com INDICE: An Introduction to Data Mining.- Data Bases, the Basis for Data Mining.- Data Mining and Inorganic Crystallography.- Data Mining in Organic Crystallography.- Data Mining for Protein Secondary Structure Prediction.

  • ISBN: 978-3-642-04758-9
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 170
  • Fecha Publicación: 01/11/2009
  • Nº Volúmenes: 1
  • Idioma: Inglés