Association rule mining using a bacterial colony algorithm
Tipo
Artigo de evento
Data de publicação
2016
Periódico
2015 Latin-America Congress on Computational Intelligence, LA-CCI 2015
Citações (Scopus)
3
Autores
Da Cunha D.S.
Xavier R.S.
Ferrari D.G.
De Castro L.N.
Xavier R.S.
Ferrari D.G.
De Castro L.N.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
© 2015 IEEE.Bacterial colonies perform a cooperative distributed exploration of the environment. This paper describes bacterial colony networks and their skills to explore resources as a tool for mining association rules in databases. The proposed algorithm is designed to maintain diverse solutions to the problem at hand, and its performance is compared to other well-known bio-inspired algorithms, including a genetic and an immune algorithm (CLONALG) and, also, to Apriori over some benchmarks from the literature.
Descrição
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Assuntos Scopus
Apriori , Bacterial colonies , Bio-inspired algorithms , CLONALG , Distributed exploration , Diverse solutions , Immune algorithms , Mining associations