Data Processing Modeling in Decision Support Systems.

Martín Gascueña, Concepción y Guadalupe, Rafael (2012). Data Processing Modeling in Decision Support Systems.. En: "14th International Conference on Enterprise Information Systems (ICEIS)", 21/06/2012 - 24/06/2012, Polonia. pp. 201-210.

Descripción

Título: Data Processing Modeling in Decision Support Systems.
Autor/es:
  • Martín Gascueña, Concepción
  • Guadalupe, Rafael
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 14th International Conference on Enterprise Information Systems (ICEIS)
Fechas del Evento: 21/06/2012 - 24/06/2012
Lugar del Evento: Polonia
Título del Libro: 14th International Conference on Enterprise Information Systems (ICEIS) Conferences
Fecha: 2012
Materias:
Escuela: E.U. de Informática (UPM) [antigua denominación]
Departamento: Organización y Estructura de la Información [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 20325
Identificador DC: http://oa.upm.es/20325/
Identificador OAI: oai:oa.upm.es:20325
URL Oficial: http://www.iceis.org/Home.aspx?y=2012
Depositado por: Memoria Investigacion
Depositado el: 31 Mar 2014 12:10
Ultima Modificación: 21 Abr 2016 23:04
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