Query transformations for improving the efficiency of ILP systems

• Type: Article in International Scientific Journal
• Date: 2004

Authors

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

Journal

Title: Journal of Machine Learning Research

Vol. 4 No. 4

Pages: 465-491

ISSN: 1532-4435

Publisher: MIT Press

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 36 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 27