Efficient intensional redefinition of aggregation hierarchies in multidimensional databases
Proceedings of the 4th ACM international workshop on Data warehousing and OLAP
Contextualizing data warehouses with documents
Decision Support Systems
A conceptual model for handling personalized hierarchies in multidimensional databases
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Towards an automatic construction of Contextual Attribute-Value Taxonomies
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Collective cubing platform towards definition and analysis of warehouse cubes
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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Hierarchies are crucial for analysis in data warehouses. But they can hardly be defined on measure attributes. In this paper, we tackle this issue and we show that measure generalizations often depend on a context. For instance, a given blood pressure can be either low, normal or high regarding not only the collected measure but also characteristics of the patient such as the age. The contribution of this paper is threefold. (1) Thanks to an external database storing the expert knowledge, we propose an effective solution for considering these hierarchies. (2) In order to efficiently manage this knowledge, a Rich Internet Application is developed. (3) Finally, in order to provide a flexible analysis, query rewriting module is proposed. Thus, it is possible to answer queries such as: "Who had a low blood pressure last night?''