Data mining via ILP: The application of progol to a

Bryant, CH

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.

Citation

Bryant, C. (1997). Data mining via ILP: The application of progol to a. In N. Lavrac, & S. Dzeroski (Eds.), Inductive logic programming (85-92). Berlin / Heidelberg, Germany: Springer. https://doi.org/10.1007/3540635149_37

• Start Date: Sep 17, 1997
• End Date: Sep 20, 1997
• Publication Date: Jan 1, 1997
• Deposit Date: Feb 17, 2009
• Publicly Available Date: Feb 17, 2009
• Publisher: Springer
• Pages: 85-92
• Series Title: Lecture notes in artificial intelligence (subseries of Lecture notes in computer science)
• Series Number: 1297
• Book Title: Inductive logic programming
• ISBN: 9783540635147
• DOI: https://doi.org/10.1007/3540635149_37
• Keywords: data mining, enantioseparations, analytical chemistry
• Publisher URL: http://dx.doi.org/10.1007/3540635149_37
• Additional Information: Paper originally presented at the 7th International Workshop, ILP-97 Prague, Czech Republic, September 17–20 1997