A network algorithm to discover sequential patterns

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorCavique, Luís-
Data de aceite: dc.date.accessioned2019-08-21T16:56:51Z-
Data de disponibilização: dc.date.available2019-08-21T16:56:51Z-
Data de envio: dc.date.issued2011-11-09-
Data de envio: dc.date.issued2011-11-09-
Data de envio: dc.date.issued2007-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/1954-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/1954-
Descrição: dc.descriptionThis paper addresses the discovery of sequential patterns in very large databases. Most of the existing algorithms use lattice structures in the space search that are very demanding computationally. The output of these algorithms generates a large number of rules. The aim of this work is to create a swift algorithm for the discovery of sequential patterns with a low time complexity. In this work, we also want to define tools that allow us to simplify the work of the final user, by offering a new visualization of the sequences, while bypassing the analysis of thousands of association rules.-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-Verlag-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectData mining-
Palavras-chave: dc.subjectFrequent sequence mining-
Palavras-chave: dc.subjectGraph theory-
Título: dc.titleA network algorithm to discover sequential patterns-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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