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A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) (SOCO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1268))

Abstract

A preliminary many objective algorithm for extracting fuzzy emerging patterns is presented in this contribution. The proposed algorithm employs fuzzy logic together with an evolutionary algorithm. The aim is to expand the complex search space that we have in emerging pattern mining.

The experimental study presented in this paper faces this new proposal regarding an ensemble of one of the most used algorithms within supervised descriptive rule discovery. Results presents a set of patterns with a major interpretability and precision for the new proposal which could be interesting for experts in real-world applications.

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Notes

  1. 1.

    http://jmetal.github.io/jMetal/.

  2. 2.

    https://simidat.ujaen.es/papers/ManyObjectiveEFEP/.

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Acknowledgement

This study was funded by the FPI 2016 Scholarship reference BES-2016-077738 (FEDER Founds).

Author information

Authors and Affiliations

  1. Interuniversity Andalusian Institute on Data Science and Computation Intelligence, University of Jaén, 23071, Jaén, Spain

    Angel Miguel Garcia-Vico, Cristobal J. Carmona, Pedro Gonzalez & Maria Jose del Jesus

Authors
  1. Angel Miguel Garcia-Vico
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  2. Cristobal J. Carmona
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  3. Pedro Gonzalez
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  4. Maria Jose del Jesus
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Corresponding author

Correspondence to Cristobal J. Carmona .

Editor information

Editors and Affiliations

  1. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Álvaro Herrero

  2. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Carlos Cambra

  3. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Daniel Urda

  4. Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  5. Department of Industrial Engineering, University of A Coruña, La Coruña, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Garcia-Vico, A.M., Carmona, C.J., Gonzalez, P., del Jesus, M.J. (2021). A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_10

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