Bioinspired algorithms applied to association rule mining in electronic commerce databases

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dc.contributor.authorDa Cunha D.S.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-13T01:05:35Z
dc.date.available2024-03-13T01:05:35Z
dc.date.issued2013
dc.description.abstractElectronic commerce (e-commerce) has grown rapidly over the past years. Products, services and information of different types are offered daily for many Internet users. Finding out an appropriate strategy to offer a product to each customer in a personalized fashion is the goal of a recommender system. This association between items is a task that falls under the umbrella of data mining, more specifically the area of association rule mining, or simply, association rules. This paper investigates the use of evolutionary algorithms and artificial immune systems to build associations of items in real-world e-commerce databases. The performances of the evolutionary and immune algorithms for rule mining are compared to each other. A discussion is made in terms of a group of interest measures of associations and computational time necessary to learn the rules. © 2013 IEEE.
dc.description.firstpage189
dc.description.lastpage194
dc.identifier.doi10.1109/BRICS-CCI-CBIC.2013.40
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36667
dc.relation.ispartofProceedings - 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013
dc.rightsAcesso Restrito
dc.subject.otherlanguageArtificial Immune System
dc.subject.otherlanguageAssociation Rules
dc.subject.otherlanguageData Mining
dc.subject.otherlanguageElectronic Commerce
dc.subject.otherlanguageEvolutionary Algorithms
dc.subject.otherlanguageRecommender Systems
dc.titleBioinspired algorithms applied to association rule mining in electronic commerce databases
dc.typeArtigo de evento
local.scopus.citations5
local.scopus.eid2-s2.0-84905387562
local.scopus.subjectArtificial Immune System
local.scopus.subjectBio-inspired algorithms
local.scopus.subjectComputational time
local.scopus.subjectImmune algorithms
local.scopus.subjectInternet users
local.scopus.subjectMeasures of association
local.scopus.subjectReal-world
local.scopus.subjectRule mining
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84905387562&origin=inward
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