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Memorias de investigación
Ponencias en congresos:
Context-Aware Stream Ensemble for Ubiquitous Environments
Año:2010
Áreas de investigación
  • Ingenierías
Datos
Descripción
In data stream classification the problem of recurring concepts is a special case of concept drift where the underlying concepts may reappear. Several methods have been proposed to learn in the presence of concept drift, but few consider recurring concepts and context integration. To address these issues, we presented a method that stores previously learned models along with context information of that learning period. When concepts recur, the appropriate model is reused, avoiding relearning a previously seen concept. In this work, in order to model the vagueness and uncertainty associated with context, we propose the inference of high-level fuzzy contexts from fuzzy logic rules, where the conditions result from fuzzified context inputs. We also present the changes required for our method to deal with this new representation, extending the approach to handle uncertain contexts.
Internacional
No
Nombre congreso
Tipo de participación
960
Lugar del congreso
Lisbon, Portugal, August 16 - 20, 2010.
Revisores
Si
ISBN o ISSN
3-642-16247-9 978-3-642-16247-3
DOI
Fecha inicio congreso
15/10/2010
Fecha fin congreso
15/10/2010
Desde la página
234
Hasta la página
239
Título de las actas
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology Springer-Verlag Berlin, Heidelberg ©2010
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Santiago Eibe Garcia (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
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