ListarDepartamento de Informática y Análisis Numérico por tema "Data mining"

Mostrando ítems 1-3 de 3

    • JCLEC Meets WEKA! 

      Cano, Alberto; Luna, J.M.; Olmo Ortiz, Juan Luis; Ventura Soto, S. (2014-02-27)
      WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework ...

    • Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm 

      Luna, J.M.; Romero, J.R.; Romero Morales, C.; Ventura Soto, S. (IOS Press, 2014)
      The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ...

    • 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 ...