Query transformations for improving the efficiency of ILP systems

• Tipo: Artigo em Revista Científica Internacional
• Data: 2004

Autores

Vitor Costa (Autor) FCUP; A. Srinivasan (Autor) Outra; Rui Camacho (Autor) FEUP; H. Blockeel (Autor) Outra; B. Demoen (Autor) Outra; G. Janssens (Autor) Outra; J. Struyf (Autor) Outra; H. Vandecasteele (Autor) Outra; W. Van Laer (Autor) Outra

Revista

Título: Journal of Machine Learning Research

Vol. 4 Nº 4

Páginas: 465-491

ISSN: 1532-4435

Editora: MIT Press

Indexação

ISI Web of Knowledge - 15 Citações

Scopus - 36 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-000-ACQ

DOI: 10.1162/153244304773936027

Abstract (EN): Relatively simple transformations can speed up the execution of queries for data mining considerably. While some ILP systems use such transformations, relatively little is known about them or how they relate to each other. This paper describes a number of such transformations. Not all of them are novel, but there have been no studies comparing their efficacy. The main contributions of the paper are: (a) it clarifies the relationship between the transformations; (b) it contains an empirical study of what can be gained by applying the transformations; and (c) it provides some guidance on the kinds of problems that are likely to benefit from the transformations.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 27