Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Situation-Aware Data Mining Service for Ubiquitous Environments
Year:2009
Research Areas
  • Artificial intelligence
Information
Abstract
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.
International
Si
Congress
2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
960
Place
Sliema, Malta
Reviewers
Si
ISBN/ISSN
978-0-7695-3834-1
http://doi.ieeecomputersociety.org/10.1109/UBICOM
Start Date
11/10/2009
End Date
16/10/2009
From page
135
To page
141
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
Participants
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Santiago Eibe Garcia (UPM)
Research Group, Departaments and Institutes related
  • 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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