ListarDepartamento de Informática y Análisis Numérico por tema "Algorithms"

Mostrando ítems 1-4 de 4

    • Distributed multi-label learning on Apache Spark 

      González López, Jorge (Universidad de Córdoba, UCOPress, 2019)
      This thesis proposes a series of multi-label learning algorithms for classication and feature selection implemented on the Apache Spark distributed computing model. Five approaches for determining the optimal architecture ...

    • Multi-label classification models for heterogeneous data: an ensemble-based approach 

      Moyano, J.M. (Universidad de Córdoba, UCOPress, 2020)
      In recent years, the multi-label classification task has gained the attention of the scientific community given its ability to solve real-world problems where each instance of the dataset may be associated with several ...

    • New challenges on associative classification: Big Data and applications 

      Padillo Ruz, Francisco (Universidad de Córdoba, UCOPress, 2020)
      La clasificación asociativa surge como resultado de la unión de dos importantes ámbitos del aprendizaje automático. Por un lado la tarea descriptiva de extracción de reglas de asociación, como mecanismo para obtener ...

    • 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 ...