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A network algorithm to discover sequential patterns

dc.contributor.authorCavique, Luís
dc.date.accessioned2011-11-09T13:27:57Z
dc.date.available2011-11-09T13:27:57Z
dc.date.issued2007
dc.description.abstractThis 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.por
dc.identifier.citationCavique, Luís - A network algorithm to discover sequential patterns. In Portuguese Conference on Artificial Intelligence - EPIA, 13, Guimarães, 2007 – “ Proceedings of the Progress in Artificial Intelligence" [Em linha]. Berlin: Springer, 2007. ISBN 3-540-77000-3. p. 406-414por
dc.identifier.isbn3-540-77000-3
dc.identifier.urihttp://hdl.handle.net/10400.2/1954
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer-Verlagpor
dc.subjectData miningpor
dc.subjectFrequent sequence miningpor
dc.subjectGraph theorypor
dc.titleA network algorithm to discover sequential patternspor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage414por
oaire.citation.startPage406por
oaire.citation.titleProgress in Artificial Intelligencepor
person.familyNameCavique
person.givenNameLuís
person.identifier.ciencia-id911E-84AC-3956
person.identifier.orcid0000-0002-5590-1493
rcaap.rightsopenAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublication40906a16-46a2-42f1-b26d-7db7012294ee
relation.isAuthorOfPublication.latestForDiscovery40906a16-46a2-42f1-b26d-7db7012294ee

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