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Mining negative rules: A literature review focusing on performance

dc.contributor.authorColombo, Alexandre [UNESP]
dc.contributor.authorSpolon, Roberta [UNESP]
dc.contributor.authorLobato, Renata Spolon [UNESP]
dc.contributor.authorManacero, Aleardo [UNESP]
dc.contributor.authorCavenaghi, Marcos Antonio
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFaculty of Business
dc.date.accessioned2022-05-01T09:30:50Z
dc.date.available2022-05-01T09:30:50Z
dc.date.issued2021-06-23
dc.description.abstractMining 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.en
dc.description.affiliationUniversidade Estadual Paulista Departamento de Computação
dc.description.affiliationUniversidade Estadual Paulista Departamento de Ciências de Computação e Estatística
dc.description.affiliationHumber Institute of Technology and Advanced Learning Faculty of Business
dc.description.affiliationUnespUniversidade Estadual Paulista Departamento de Computação
dc.description.affiliationUnespUniversidade Estadual Paulista Departamento de Ciências de Computação e Estatística
dc.identifierhttp://dx.doi.org/10.23919/CISTI52073.2021.9476572
dc.identifier.citationIberian Conference on Information Systems and Technologies, CISTI.
dc.identifier.doi10.23919/CISTI52073.2021.9476572
dc.identifier.issn2166-0735
dc.identifier.issn2166-0727
dc.identifier.scopus2-s2.0-85115757662
dc.identifier.urihttp://hdl.handle.net/11449/233578
dc.language.isopor
dc.relation.ispartofIberian Conference on Information Systems and Technologies, CISTI
dc.sourceScopus
dc.subjectdata mining
dc.subjectfrequent patterns
dc.subjectnegative association rules
dc.subjectparallel algorithms
dc.subjectsystematic literature review
dc.titleMining negative rules: A literature review focusing on performanceen
dc.titleMineração de regras negativas: uma revisão da literatura com foco em desempenhopt
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentComputação - FCpt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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