Data mining via ILP: The application of progol to a

Bryant, CH ORCID: https://orcid.org/0000-0002-9002-8343 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.

Preview

PDF Download (144kB) | Preview

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
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:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher:	Springer
Refereed:	Yes
Series Name:	Lecture notes in artificial intelligence (subseries of Lecture notes in computer science)
ISBN:	9783540635147
Related URLs:	Author
Depositing User:	Dr Chris H. Bryant
Date Deposited:	17 Feb 2009 14:19
Last Modified:	16 Feb 2022 08:16
URI:	https://usir.salford.ac.uk/id/eprint/1767

Actions (login required)

Edit record (repository staff only)