Evolutionary and immune algorithms applied to association rule mining
Tipo
Artigo de evento
Data de publicação
2012
Periódico
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Citações (Scopus)
2
Autores
Da Cunha D.S.
De Castro L.N.
De Castro L.N.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
Association rule mining is one of the most important data mining tasks. It corresponds to the determination of rules that associate items to other items in a data set, where the items are attributes in transactional databases. Although evolutionary algorithms have been used in this task for some time, there are few applications of immune algorithms to such problem. This paper presents one typical genetic algorithm plus two clonal selection algorithms applied to association rule mining under the perspective of several measures of interest. © 2012 Springer-Verlag.
Descrição
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Assuntos Scopus
Artificial Immune System , Clonal selection algorithms , Data mining tasks , Data sets , Immune algorithms , Transactional database