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April – An Inductive Logic Programming System

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2006 Portugal Publisher:Springer Berlin HeidelbergFunded by:FCT | myddas - MySQL/Yap Deduct...

Authors: Nuno A. Fonseca; Fernando Silva; Rui Camacho;

doi: 10.1007/11853886_42

handle: 10216/67418

April – An Inductive Logic Programming System

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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 (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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Portugal

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Keywords

Computer and information sciences, Ciências da computação e da informação, Ciências exactas e naturais::Ciências da computação e da informação, Natural sciences::Computer and information sciences

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%