April - An Inductive Logic Programming System
Nuno A. Fonseca, O Silva, Rui Carlos Camacho · 2006
Abstract. Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (pos-itive and negative) and prior knowledge to learn a theory in which pos-itive examples succeed and the negative examples fail. In this paper we present a novel ILP system called April, capable of exploring several parallel strategies in distributed and shared memory machines. 1