Feature construction with Inductive Logic Programming: a study of quantitative predictions of chemical activity aided by structural attributes (1996)
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| Venue: | Data Mining and Knowledge Discovery |
| Citations: | 62 - 9 self |
BibTeX
@INPROCEEDINGS{Srinivasan96featureconstruction,
author = {Ashwin Srinivasan and R. D. King and Biomolecular Modelling Laboratory},
title = {Feature construction with Inductive Logic Programming: a study of quantitative predictions of chemical activity aided by structural attributes},
booktitle = {Data Mining and Knowledge Discovery},
year = {1996},
pages = {89--104},
publisher = {Springer-Verlag}
}
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Abstract
Recently, computer programs developed within the field of Inductive Logic Programming have received some attention for their ability to construct restricted first-order logic solutions using problem-specific background knowledge. Prominent applications of such programs have been concerned with determining "structure-activity" relationships in the areas of molecular biology and chemistry. Typically the task here is to predict the "activity" of a compound, like toxicity, from its chemical structure.
