Memorias de investigación
Ponencias en congresos:
A Multi-agent Architecture for Labeling -Data and Generating Prediction Models in the Field of Social Services
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Prediction models are widely used in insurance companies and health services. Even when 120 million people are at risk of suffering poverty or social exclusion in the EU, this kind of models are surprisingly unusual in the ?eld of social services. A fundamental reason for this gap is the di?culty in labeling and annotating social services data. Conditions such as social exclusion require a case-by-case debate. This paper presents a multi-agent architecture that combines semantic web technologies, exploratory data analysis techniques, and supervised machine learning methods. The architecture o ers a holistic view of the main challenges involved in labeling data and generating prediction models for social services. Moreover, the proposal discusses to what extent these tasks may be automated by intelligent agents.
Internacional
Si
Nombre congreso
PAAMS 2017
Tipo de participación
960
Lugar del congreso
Oporto, Portugal
Revisores
Si
ISBN o ISSN
978-3-319-60284-4
DOI
10.1007/978-3-319-60285-1_15
Fecha inicio congreso
21/06/2017
Fecha fin congreso
23/06/2017
Desde la página
177
Hasta la página
184
Título de las actas
Conference proceedings PAAMS 2017
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial