dc.creatorANDRÉS GAGO ALONSO
dc.creatorJESUS ARIEL CARRASCO OCHOA
dc.creatorJOSE FRANCISCO MARTINEZ TRINIDAD
dc.date2010
dc.date.accessioned2022-10-12T20:14:30Z
dc.date.available2022-10-12T20:14:30Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1391
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4130542
dc.descriptionSupport calculation and duplicate detection are the most challenging and unavoidable subtasks in frequent connected subgraph (FCS) mining. The most successful FCS mining algorithms have focused on optimizing these subtasks since the existing solutions for both subtasks have high computational complexity. In this paper, we propose two novel properties that allow removing all duplicate candidates before support calculation. Besides, we introduce a fast support calculation strategy based on embedding structures. Both properties and the new embedding structure are used for designing two new algorithms: gdFil for mining all FCSs; and gdClosed for mining all closed FCSs. The experimental results show that our proposed algorithms get the best performance in comparison with other well known algorithms.
dc.formatapplication/pdf
dc.languageeng
dc.publisherIOS Press
dc.relationcitation:Gago-Alonso, A., et al., (2010). Full duplicate candidate pruning for frequent connected subgraph mining, Integrated Computer-Aided Engineering, (August): 1-15
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Data mining/Data mining
dc.subjectinfo:eu-repo/classification/Graph mining/Graph mining
dc.subjectinfo:eu-repo/classification/Frequent subgraph/Frequent subgraph
dc.subjectinfo:eu-repo/classification/Labeled graph/Labeled graph
dc.subjectinfo:eu-repo/classification/DFS code/DFS code
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleFull duplicate candidate pruning for frequent connected subgraph mining
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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