April - An Inductive Logic Programming System

• Author(s): Nuno A Fonseca ; Fernado Silva ; Rui Camacho
• Date: 2006
• Persistent ID: http://hdl.handle.net/10216/67418
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências Tecnológicas; Engenharia; Engenharia do conhecimento
• Document Type: Conference Object
• Language: English

Description

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 (positive and negative) and prior knowledge to learn a theory in which positive 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.