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Knowledge discovery in databases: application to chromatography

Bryant, CH and Rowe, RC 1998, 'Knowledge discovery in databases: application to chromatography' , Trends in Analytical Chemistry, 17 (1) , pp. 18-24.

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Abstract

This paper reviews emerging computer techniques for discovering knowledge from databases and their application to various sets of separation data. The data-sets include the separation of a diverse range of analytes using either liquid, gas or ion chromatography. The main conclusion is that the new techniques should help to close the gap between the rate at which chromatographic data is gathered and stored electronically and the rate at which it can be analysed and understood.

Item Type: Article
Uncontrolled Keywords: knowledge discovery in databases, machine learning, chromatography
Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects / Themes > Q Science > QD Chemistry
Subjects outside of the University Themes
Schools: Colleges and Schools > College of Science & Technology
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Journal or Publication Title: Trends in Analytical Chemistry
Publisher: Elsevier
Refereed: Yes
ISSN: 01659936
Related URLs:
Depositing User: Dr Chris H. Bryant
Date Deposited: 17 Feb 2009 13:34
Last Modified: 20 Aug 2013 15:56
URI: http://usir.salford.ac.uk/id/eprint/1766

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