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Discovering knowledge hidden in a chemical database using a commercially available data mining tool

Bryant, CH, Adam, AE, Taylor, DR, Conroy, GV and Rowe, RC 1995, Discovering knowledge hidden in a chemical database using a commercially available data mining tool , in: IEE Colloquium on Knowledge Discovery in Databases, February 1995, London, UK. (Unpublished)

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    Abstract

    Describes DataMariner, a commercially available tool that is designed to facilitate the discovery of knowledge hidden in databases. The potential of the tool for scientific applications is illustrated via a case study. This is both the first application of this particular tool to a scientific domain and the first project to describe the application of data mining techniques to the analytical separation of a chemical mixture, known as an enantiomer pair, using Pirkle-type chiral stationary phases. DataMariner was successfully used to develop and validate rules for the domain of the case study. Although it is not easy to provide a justification for the rules by looking at them, the results suggest that they have a high degree of accuracy.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Presented at 'Knowledge discovery in databases' colloquium held at IEE, Savoy Place, London, WC2R OBL, UK. Digest No. 1995/021(B)
    Uncontrolled Keywords: DataMariner, pirkle-type chiral stationary phases, analytical separation, case study, data mining, enantiomer pair, knowledge discovery
    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
    Refereed: No
    Related URLs:
    Depositing User: Dr Chris H. Bryant
    Date Deposited: 17 Feb 2009 15:40
    Last Modified: 20 Aug 2013 16:56
    URI: http://usir.salford.ac.uk/id/eprint/1774

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