• Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules 

      Alcalde-Llergo, José M.; García-Martínez, Carlos; Vaquero Abellán, Manuel; Aparicio Martínez, Pilar; Yeguas-Bolívar, Enrique (IEEE, 2022)
      Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ...
    • Classification Rule Mining with Iterated Greedy 

      Pedraza, Juan A.; García-Martínez, Carlos; Cano, Alberto; Ventura Soto, S. (2017-03-30)
      In the context of data mining, classi cation rule discovering is the task of designing accurate rule based systems that model the useful knowledge that di erentiate some data classes from others, and is present in large ...
    • JCLEC-MO: A Java suite for solving many-objective optimization engineering problems 

      Ramírez, Aurora; Romero, José Raúl; García-Martínez, Carlos; Ventura Soto, S. (Elsevier, 2019)
      Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. ...
    • Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales 

      Lozano, Manuel; García-Martínez, Carlos; Rodríguez, Francisco J.; Trujillo, Humberto M. (Universidad de Salamanca, 2016)
      En los últimos años, ha crecido el interés en formular como un problema de optimización la tarea de concebir ataques efectivos que causen el máximo daño sobre redes complejas. En este caso, los ataques se modelan como ...