Bacterial colony algorithms applied to association rule mining in static data and streams

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dc.contributor.authorda Cunha D.S.
dc.contributor.authorXavier R.S.
dc.contributor.authorFerrari D.G.
dc.contributor.authorde Castro L.N.
dc.date.accessioned2024-03-12T23:59:28Z
dc.date.available2024-03-12T23:59:28Z
dc.date.issued2018
dc.description.abstract© 2018, Springer International Publishing AG, part of Springer Nature.Bacterial colonies perform a cooperative and distributed exploration of the environmental resources. This paper describes how bacterial colony networks and their skills to search resources can be used as tools for mining association rules in static and stream data. The proposed algorithm is designed to maintain diverse solutions to the problems at hand, and its performance is compared to another well-known bacterial algorithm in both static and stream datasets.
dc.description.firstpage525
dc.description.lastpage533
dc.description.volume887
dc.identifier.doi10.1007/978-3-319-94779-2_45
dc.identifier.issn1865-0929
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35621
dc.relation.ispartofCommunications in Computer and Information Science
dc.rightsAcesso Restrito
dc.subject.otherlanguageAssociation rules
dc.subject.otherlanguageBacterial colony algorithms
dc.subject.otherlanguageStream data mining
dc.titleBacterial colony algorithms applied to association rule mining in static data and streams
dc.typeArtigo de evento
local.scopus.citations1
local.scopus.eid2-s2.0-85049366769
local.scopus.subjectBacterial colonies
local.scopus.subjectDistributed exploration
local.scopus.subjectDiverse solutions
local.scopus.subjectEnvironmental resources
local.scopus.subjectMining associations
local.scopus.subjectStatic datum
local.scopus.subjectStream data
local.scopus.subjectStream data mining
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049366769&origin=inward
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