April - An Inductive Logic Programming System. 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.

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References in zbMATH (referenced in 3 articles )

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  1. Fonseca, Nuno A.; Srinivasan, Ashwin; Silva, Fernando; Camacho, Rui: Parallel ILP for distributed-memory architectures (2009)
  2. Camacho, Rui; Fonseca, Nuno A.; Rocha, Ricardo; Costa, VĂ­tor Santos: ILP :- just trie it (2008)
  3. Fonseca, Nuno A.; Silva, Fernando; Camacho, Rui: April -- an inductive logic programming system (2006) ioport