FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

Angel Miguel Garcia-Vico*, Cristobal J. Carmona, Pedro Gonzalez, Huseyin Seker, Maria J.Del Jesus

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    6 Citations (SciVal)
    Original languageEnglish
    Article number9088291
    Pages (from-to)3193-3203
    Number of pages11
    JournalIEEE Transactions on Fuzzy Systems
    Volume28
    Issue number12
    DOIs
    Publication statusPublished (VoR) - Dec 2020

    Funding

    This work was supported in part by the Spanish Ministry of Economy and Competitiveness under the Project TIN2015-68454-R (FEDER Founds), and in part by the FPI 2016 Scholarship reference BES-2016-077738. Manuscript received July 31, 2019; revised January 10, 2020 and March 29, 2020; accepted May 1, 2020. Date of publication May 6, 2020; date of current version December 1, 2020. This work was supported in part by the Spanish Ministry of Economy and Competitiveness under the Project TIN2015-68454-R (FEDER Founds), and in part by the FPI 2016 Scholarship reference BES-2016-077738. (Corresponding author: Ángel Miguel García-Vico.) Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, and María J. del Jesus are with the Andalusian Research Institute on Data Science and Computational Intelligence, University of Jaén, Jaén 23071, Spain (e-mail: [email protected]; [email protected]; [email protected]; [email protected]).

    FundersFunder number
    Spanish Ministry of Economy and Competitiveness
    Ministerio de Economía y CompetitividadTIN2015-68454-R

      Keywords

      • Data stream mining
      • emerging pattern mining (EPM)
      • evolutionary fuzzy systems (EFSs)
      • multiobjective evolutionary algorithms (EAs)

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