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Parallel ILP for Distributed-Memory Architectures

Nuno A. Fonseca; Ashwin Srinivasan; Fernando Silva; Rui Camacho

The growth of machine-generated relational databases, both in thesciences and in industry, is rapidly outpacing our ability to extract useful information from them by manual means. This has brought into focus machine learning techniques like Inductive Logic Programming (ILP) that are able to extract humancomprehensible models for complex relational data. The price to pay is that ILP techniques are not ecient: t...


Quantitative Pharmacophore Models with Inductive Logic Programming

Ashwin Srinivasan; David Page; Rui Camacho; Ross King

Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional groups (like hydrophobic groups, hydrogen acceptors and donors, etc.), are often used in drug design to describe the medicinal activity of potential drugs (or ligands). This medicinal activity is produced by interaction of the functional groups on the ligand with a binding site on a tar...


Query Transformations for Improving the Efficiency of ILP Systems

Vítor Santos Costa; Ashwin Srinivasan; Rui Camacho; Hendrik Blockeel; Bart Demoen; Gerda Janssens; Jan Struyf; Henk Vandecasteele; Wim Van Laer

Relatively simple transformations can speed up the execution of queries for data mining considerably. While some ILP systems use such transformations, relatively little is known about them or how they relate to each other. This paper describes a number of such transformations. Not all of them are novel, but there have been no studies comparing their efficacy. The main contributions of the paper are: (a) it clar...


A Note on Two Simple Transformations for Improving the Efficiency of and ILP sy...

Vítor Santos Costa; Ashwin Srinivasan; Rui Camacho

Inductive Logic Programming (ILP) systems have had noteworthy successes in extracting comprehensible and accurate models for data drawn from a number of scientific and engineering domains. These results suggest that ILP methods could enhance the model-construction capabilities of software tools being developed for the emerging discipline of ``knowledge discovery from databases.'' One significant concern in the ...



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