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- W2295291289 abstract "Data warehouses (DW) and OLAP systems are business intelligence technologies allowing the on-line analysisof huge volume of data according to usersâ needs. The success of DW projects essentially depends onthe design phase where functional requirements meet data sources (mixed design methodology) (Phipps andDavis, 2002). However, when dealing with complex applications existing design methodologies seem inefficientsince decision-makers define functional requirements that cannot be deduced from data sources (datadriven approach) and/or they have not sufficient application domain knowledge (user driven approach) (Sautotet al., 2014b). Therefore, in this paper we propose a new mixed refinement design methodology where theclassical data-driven approach is enhanced with data mining to create new dimensions hierarchies. A toolimplementing our approach is also presented to validate our theoretical proposal." @default.
- W2295291289 created "2016-06-24" @default.
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- W2295291289 date "2015-01-01" @default.
- W2295291289 modified "2023-10-14" @default.
- W2295291289 title "Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering" @default.
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- W2295291289 doi "https://doi.org/10.5220/0005404605470555" @default.
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