Data mining via ILP : the application of progol to a database of enantioseparations
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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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
|Depositing User:||Dr Chris H. Bryant|
|Date Deposited:||17 Feb 2009 14:19|
|Last Modified:||27 Sep 2011 12:32|
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