• 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 ...
    • Optimal online time-series segmentation 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Muñoz-Salinas, Rafael; Romero Ramírez, Francisco J. (Springer, 2024)
      When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ...