Data Mining in Crystallography

• Corporate Author: SpringerLink (Online service)
• Other Authors: Hofmann, D. W. M. (Editor), Kuleshova, Liudmila N. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
• Series: Structure and Bonding, 134
• Subjects: Chemistry.; Inorganic chemistry.; Proteins.; Inorganic Chemistry.; Crystallography and Scattering Methods.; Protein Structure.

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 proliferation, ubiqui...

Table of Contents:

• 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.