Listar Producción Científica por autor "af521fe9-4221-4b47-a179-b593cb5cf007"

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    • A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation 

      Durán Rosal, Antonio Manuel; Gutiérrez-Peña, Pedro Antonio; Carmona Poyato, Ángel; Hervás-Martínez, César (Elsevier, 2019)
      This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...

    • A new approach for optimal offline time-series segmentation with error bound guarantee 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Durán Rosal, Antonio Manuel (Elsevier, 2021)
      This paper proposes a new optimal approach, called OSFS, based on feasible space (FS) Liu et al. (2008)[, that minimizes the number of segments of the approximation and guarantees the error bound using the L∞-norm. On the ...

    • A new approach for optimal time-series segmentation 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Durán Rosal, Antonio Manuel (Elsevier, 2020)
      This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining ...

    • Time series data mining: preprocessing, analysis, segmentation and prediction. Applications 

      Durán Rosal, Antonio Manuel (Universidad de Córdoba, UCOPress, 2019)
      Currently, the amount of data which is produced for any information system is increasing exponentially. This motivates the development of automatic techniques to process and mine these data correctly. Specifically, in this ...