Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Situation-Aware Data Mining Service for Ubiquitous Environments
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The indisputable dominance of mobile and pervasive computing devices and their typical characteristics require services offered to be rethought and sometimes redesigned in order to better assist users. Considering the importance of data mining services to provide intelligence locally on devices on these environments, we propose a data mining service that adapts the embedded data mining algorithm according to situation. Resource-awareness and context-awareness are the essential features that the proposed service will have to provide. Consequently we present a model in which data mining configuration is determined based on context and resources. We separate control and functionality in order to provide more flexibility and comply with existing data mining standards. An adaptable design is attained through definition of situations and strategies. The mechanism used in definition of strategies is an important factor affecting the performance of the control part which determines the configuration of data mining algorithm. Anticipating the importance of the mechanism selection, the paper also presents comparison with three different mechanisms. We designed a situation-aware data mining service favoring adaptability and efficiency as the important features and assessed the alternative representations of its components.
Internacional
Si
Nombre congreso
2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Tipo de participación
960
Lugar del congreso
Sliema, Malta
Revisores
Si
ISBN o ISSN
978-0-7695-3834-1
DOI
http://doi.ieeecomputersociety.org/10.1109/UBICOM
Fecha inicio congreso
11/10/2009
Fecha fin congreso
16/10/2009
Desde la página
135
Hasta la página
141
Título de las actas
The Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. UBICOMM. Jaime Lloret Mauri, Joseph A. Meloche, Sergey Balandin, Malohat Ibrohimova, Junya Nakata Editors. Published by IEEE Computer Science
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Santiago Eibe Garcia (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
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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