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Data mining via ILP: The application of progol to a

Bryant, CH 1997, 'Data mining via ILP: The application of progol to a' , 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
Editors: Lavrac, N and Dzeroski, S
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
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
Series Name: Lecture notes in artificial intelligence (subseries of Lecture notes in computer science)
ISBN: 9783540635147
Related URLs:
Depositing User: Dr Chris H. Bryant
Date Deposited: 17 Feb 2009 14:19
Last Modified: 20 Aug 2013 15:56
URI: http://usir.salford.ac.uk/id/eprint/1767

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