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Knowledge discovery in databases: application to chromatography

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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: 27 Sep 2011 12:32
    URI: http://usir.salford.ac.uk/id/eprint/1766

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