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Memorias de investigación
Ponencias en congresos:
Recurrent Drifts: Applying Fuzzy Logic to Concept Similarity Function
Año:2015
Áreas de investigación
  • Ingenierías,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Recurrent drift, as a specific type of concept drift, is characterised by the appearance of previously seen concepts. Therefore, in those cases the learning process could be saved or at least minimized by applying an already trained classification model. In this paper we propose Fuzzy-Rec, a framework that is able to deal with recurrent concept drifts by means of a repository of classification models and a similarity function. Fuzzy logic is used in the framework to implement the similarity function needed to compare different classification models. This is a crucial aspect when dealing with drift recurrence, as long as some measure must be implemented to determine which model better fits a previously seen context. As it can be seen in the experimentation results of this paper, this fuzzy similarity function provides excellent results both in synthetic and real datasets. As a conclusion, we can state that the introduction of fuzzy logic comparisons between models could lead to a better efficient reuse of previously seen concepts, saving computational resources by applying not just equal models, but also similar ones
Internacional
Si
Nombre congreso
fedcsis 2016
Tipo de participación
960
Lugar del congreso
Lodz- Polonia
Revisores
Si
ISBN o ISSN
2300-5963
DOI
http://dx.doi.org/10.15439/978-83-60810-66-8
Fecha inicio congreso
13/09/2015
Fecha fin congreso
16/09/2015
Desde la página
19
Hasta la página
29
Título de las actas
Annals of Computer Science and Information Systems, Volume 5 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Angel Abad
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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