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A Bacterial Colony Algorithm for Association Rule Mining

  • Danilo Souza da CunhaEmail author
  • Rafael Silveira Xavier
  • Leandro Nunes de Castro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Abstract

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.

Keywords

Bio-inspired algorithm Bacterial colony Association rules Data mining 

Notes

Acknowledgement

The authors thank CAPES, Fapesp, CNPq and MackPesquisa for the financial support.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Danilo Souza da Cunha
    • 1
    Email author
  • Rafael Silveira Xavier
    • 1
  • Leandro Nunes de Castro
    • 1
  1. 1.Natural Computing Laboratory - LCoNMackenzie Presbyterian UniversitySão PauloBrazil

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