Bacterial colony algorithms applied to association rule mining in static data and streams
Tipo
Artigo de evento
Data de publicação
2018
Periódico
Communications in Computer and Information Science
Citações (Scopus)
1
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.
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Resumo
© 2018, Springer International Publishing AG, part of Springer Nature.Bacterial colonies perform a cooperative and distributed exploration of the environmental resources. This paper describes how bacterial colony networks and their skills to search resources can be used as tools for mining association rules in static and stream data. The proposed algorithm is designed to maintain diverse solutions to the problems at hand, and its performance is compared to another well-known bacterial algorithm in both static and stream datasets.
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Assuntos Scopus
Bacterial colonies , Distributed exploration , Diverse solutions , Environmental resources , Mining associations , Static datum , Stream data , Stream data mining