Memorias de investigación
Ponencias en congresos:
Data Processing Modeling in Decision Support Systems
Año:2012

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Due to the advancement of both, information technology in general, and databases in particular; data storage devices are becoming cheaper and data processing speed is increasing. As result of this, organizations tend to store large volumes of data holding great potential information. Decision Support Systems, DSS try to use the stored data to obtain valuable information for organizations. In this paper, we use both data models and use cases to represent the functionality of data processing in DSS following Software Engineering processes. We propose a methodology to develop DSS in the Analysis phase, respective of data processing modeling. We have used, as a starting point, a data model adapted to the semantics involved in multidimensional databases or data warehouses, DW. Also, we have taken an algorithm that provides us with all the possible ways to automatically cross check multidimensional model data. Using the aforementioned, we propose diagrams and descriptions of use cases, which can be considered as patterns representing the DSS functionality, in regard to DW data processing, DW on which DSS are based. We highlight the reusability and automation benefits that this can be achieved, and we think this study can serve as a guide in the development of DSS.
Internacional
Si
Nombre congreso
14th International Conference on Enterprise Information Systems, ICEIS2012
Tipo de participación
960
Lugar del congreso
Poland
Revisores
Si
ISBN o ISSN
978-989-8565-12-9
DOI
Fecha inicio congreso
21/06/2012
Fecha fin congreso
24/06/2012
Desde la página
201
Hasta la página
210
Título de las actas
Databases and Information Systems Integration

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: SEMEPRO: Seguridad y Mejora de Procesos
  • Departamento: Ingeniería Topográfica y Cartografía