Work

Computing Skypattern Cubes

Year: 2014

Type: book-chapter

Abstract: We introduce skypattern cubes and propose an efficient bottom-up approach to compute them. Our approach relies on derivation rules collecting skypatterns of a parent node from its child nodes without any dominance test. Non-derivable skypatterns are computed on the fly thanks to Dynamic CSP. The bottom-up principle enables to provide a concise representation of the cube based on skypattern equivalence classes without any supplementary effort. Experiments show the effectiveness of our proposal.

Source: Frontiers in artificial intelligence and applications

DOI: 10.3233/978-1-61499-419-0-903

Authors: Ugarte Willy, Boizumault Patrice, Loudni Samir, Crémilleux Bruno

Institutions: Centre National de la Recherche Scientifique, GREYC

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2402116595

FWCI: 3.428

Cites: 12

Cited by: 6

Related to: 10