Abstract
Data cubes and OLAP (OnLine Analytical Processing) allow friendly ad-hoc data analysis in the process of decision making. Among the dimensions that describe the data cube structure, we usually find a time dimension. If we query the data cube by means of OLAP operations on the time dimension we obtain time series data related to events and features which are interesting for the user. These query results can be summarized so that an appropriate short linguistic description of the series is provided to the user. In this paper, we present some approaches to accomplish linguistic summarization of data in data cubes containing historical information using fuzzy quantified statements.
Partially supported by the project Representación y Manipulació n de Objetos Imperfectos en Problemas de Integración de Datos: Una Aplicació n a los Almacenes de Objetos de Aprendizaje, Junta de Andalucía (TIC03175).
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Castillo-Ortega, R., Marín, N., Sánchez, D. (2009). Linguistic Summary-Based Query Answering on Data Cubes with Time Dimension. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2009. Lecture Notes in Computer Science(), vol 5822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04957-6_48
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DOI: https://doi.org/10.1007/978-3-642-04957-6_48
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