Mining negative rules: A literature review focusing on performance
dc.contributor.author | Colombo, Alexandre [UNESP] | |
dc.contributor.author | Spolon, Roberta [UNESP] | |
dc.contributor.author | Lobato, Renata Spolon [UNESP] | |
dc.contributor.author | Manacero, Aleardo [UNESP] | |
dc.contributor.author | Cavenaghi, Marcos Antonio | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Faculty of Business | |
dc.date.accessioned | 2022-05-01T09:30:50Z | |
dc.date.available | 2022-05-01T09:30:50Z | |
dc.date.issued | 2021-06-23 | |
dc.description.abstract | Mining 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.affiliation | Universidade Estadual Paulista Departamento de Computação | |
dc.description.affiliation | Universidade Estadual Paulista Departamento de Ciências de Computação e Estatística | |
dc.description.affiliation | Humber Institute of Technology and Advanced Learning Faculty of Business | |
dc.description.affiliationUnesp | Universidade Estadual Paulista Departamento de Computação | |
dc.description.affiliationUnesp | Universidade Estadual Paulista Departamento de Ciências de Computação e Estatística | |
dc.identifier | http://dx.doi.org/10.23919/CISTI52073.2021.9476572 | |
dc.identifier.citation | Iberian Conference on Information Systems and Technologies, CISTI. | |
dc.identifier.doi | 10.23919/CISTI52073.2021.9476572 | |
dc.identifier.issn | 2166-0735 | |
dc.identifier.issn | 2166-0727 | |
dc.identifier.scopus | 2-s2.0-85115757662 | |
dc.identifier.uri | http://hdl.handle.net/11449/233578 | |
dc.language.iso | por | |
dc.relation.ispartof | Iberian Conference on Information Systems and Technologies, CISTI | |
dc.source | Scopus | |
dc.subject | data mining | |
dc.subject | frequent patterns | |
dc.subject | negative association rules | |
dc.subject | parallel algorithms | |
dc.subject | systematic literature review | |
dc.title | Mining negative rules: A literature review focusing on performance | en |
dc.title | Mineração de regras negativas: uma revisão da literatura com foco em desempenho | pt |
dc.type | Trabalho apresentado em evento | |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências, Bauru | pt |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Preto | pt |
unesp.department | Computação - FC | pt |
unesp.department | Ciências da Computação e Estatística - IBILCE | pt |