Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Definition of a Metadata Schema for Describing Data Preparation Tasks
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The effort involved during data preparation phase needs to be minimized through the automation of preparation tasks as possible. Within the mobile and dynamic environment we interact, the changing nature of data and the speed it is generated, demands that autonomy be a top priority. Based on this idea, we aim to address the automation of data preparation tasks in ubiquitous environments. With this goal in mind, we think it¿s necessary to identify requirements for a data preparation task, and the semantics related to the expertise of a user as well. In this paper, we propose a number of steps to gather the requirements for a documented data preparation task and we define a metadata schema that would allow the creation of semantics to support this process. At the end, a case study demonstrates the application of such metadata schema, however its continuous application to complex tasks, will determine if an extension would be needed.
Internacional
Si
Nombre congreso
Third Generation Data Mining: Towards Service-oriented Knowledge Discovery Workshop at ECML PKDD 2009
Tipo de participación
960
Lugar del congreso
Bled, Slovenia
Revisores
Si
ISBN o ISSN
978-3-642-04173-0
DOI
Fecha inicio congreso
07/09/2009
Fecha fin congreso
11/09/2009
Desde la página
64
Hasta la página
73
Título de las actas
Definition of a Metadata Schema for Describing Data Preparation Tasks
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Santiago Eibe Garcia (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Miguel Angel Hidalgo Reyes (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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