A Relational Data Mining perspective for Bioinformatics applications
The talk will have two parts. In the first part I will give a broad overview of the area of Inductive Logic Programming (ILP) as a promising approach to Relational Data Mining. Advantages of such approach together with their main applications will then be presented. In the second part I will focus on: i) a technique for conceptual clustering in Relational Data Mining that I have been working recently; ii) the application of ILP in rational Drug Design; iii) work on using ILP for Protein Folding.