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Data mining via ILP : the application of progol to a database of enantioseparations

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Bryant, CH 1997, 'Data mining via ILP : the application of progol to a database of enantioseparations' , in: Inductive logic programming , Lecture notes in artificial intelligence (subseries of Lecture notes in computer science) (1297) , Springer, Berlin / Heidelberg, Germany, pp. 85-92.

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    Abstract

    As far as this author is aware, this is the first paper to describe the application of Progol to enantioseparations. A scheme is proposed for data mining a relational database of published enantioseparations using Progol. The application of the scheme is described and a preliminary assessment of the usefulness of the resulting generalisations is made using their accuracy, size, ease of interpretation and chemical justification.

    Item Type: Book Section
    Additional Information: Paper originally presented at the 7th International Workshop, ILP-97 Prague, Czech Republic, September 17–20 1997
    Uncontrolled Keywords: data mining, enantioseparations, analytical chemistry
    Editors: Lavrac, Nand Dzeroski, S
    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
    Publisher: Springer
    Refereed: Yes
    ISBN: 9783540635147
    Related URLs:
    Depositing User: Dr Chris H. Bryant
    Date Deposited: 17 Feb 2009 14:19
    Last Modified: 27 Sep 2011 12:32
    URI: http://usir.salford.ac.uk/id/eprint/1767

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