Chemometrics: Extracting Chemical Information from Chemical Data.

From MS Data via Chemometrics to Chemical Structure Information

Applied Chemometrics: From Chemical Data to Relevant Information

The basic principles of multivariate data analysis in chemometrics are explained. The most used methods based on linear latent variables are discussed (principal component analysis, linear discriminant analysis) and demonstrated by examples from analytical chemistry and spectroscopy.

OCMiner for Patents. Extracting Chemical Information from Patent Texts

This paper describes OCMiner, a high-performance semantic text processing system for large document collections of scientific publications, and its performance regarding chemical named entity recognition in patent texts within the BioCreative V CHEMDNER-Patents challenge which was set up for this purpose. OCMiner permits adjusting the quality of annotation results by several linguistic options,...

Chemometrics: Data Analysis for the Laboratory and Chemical Plant

It's not surprisingly when entering this site to get the book. One of the popular books now is the chemometrics data analysis for the laboratory and chemical plant. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And when you have found the store to buy the book, it will be so hurt when you run out of it. T...

Information Extraction from Chemical patents

The development of new chemicals or pharmaceuticals is preceded by an indepth analysis of published patents in this field. This information retrieval is a costly and time inefficient step when done by a human reader, yet it is mandatory for potential success of an investment. The goal of the research project UIMA-HPC is to automate and hence speed-up the process of knowledge mining about patent...