Mining negative rules: a literature review focusing on performance

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorHumber Inst Technol & Adv Learning-
Autor(es): dc.creatorColombo, Alexandre-
Autor(es): dc.creatorSpolon, Roberta-
Autor(es): dc.creatorLobato, Renata Spolon-
Autor(es): dc.creatorManacero Junior, Aleardo-
Autor(es): dc.creatorCavenaghi, Marcos Antonio-
Autor(es): dc.creatorRocha, A.-
Autor(es): dc.creatorGoncalves, R.-
Autor(es): dc.creatorPenalvo, F. G.-
Autor(es): dc.creatorMartins, J.-
Data de aceite: dc.date.accessioned2025-08-21T21:24:17Z-
Data de disponibilização: dc.date.available2025-08-21T21:24:17Z-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/237784-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/237784-
Descrição: dc.descriptionMining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the generation of so-called negative rules which result in associations of great interest for some applications, enabling it to obtain extra knowledge in comparison to the positive case. This type of association presents a problem regarding the increased amount of generated rules which demands adequate computational resources. This study presents a systematic review with the aim of grouping the concepts of the main contemporary works on this topic, in order to assist the development of future works in this subject.-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Comp, Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Ciencias Comp & Estat, Sao Jose Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionHumber Inst Technol & Adv Learning, Fac Business, Toronto, ON, Canada-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Comp, Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Ciencias Comp & Estat, Sao Jose Do Rio Preto, SP, Brazil-
Formato: dc.format6-
Idioma: dc.languagept_BR-
Publicador: dc.publisherIeee-
Relação: dc.relationProceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectData mining-
Palavras-chave: dc.subjectFrequent patterns-
Palavras-chave: dc.subjectNegative association rules-
Palavras-chave: dc.subjectParallel algorithms-
Palavras-chave: dc.subjectSystematic literature review-
Título: dc.titleMining negative rules: a literature review focusing on performance-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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