Feature construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes

@article{Srinivasan1999FeatureCW,
  title={Feature construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes},
  author={Ashwin Srinivasan and Ross D. King},
  journal={Data Mining and Knowledge Discovery},
  year={1999},
  volume={3},
  pages={37-57}
}
Recently, computer programs developed within the field of Inductive Logic Programming (ILP) 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 (for example, toxicity), from its… CONTINUE READING
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