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Communication Dans Un Congrès Année : 2005

Preparing Complex Data for Warehousing

Omar Boussaid
Fadila Bentayeb

Résumé

In order to prepare complex data for relevant analysis, a data warehousing-based approach is needed. However, a good multidimensional modeling requires efficient preparation of data starting with a data integration phase. We present in this paper two principal steps of the complex data warehousing process. The data integration is the first one. To do that, we define a generic UML data model capable of representing a wide range of complex data including their possible semantic properties. Furthermore, complex data are represented as XML documents generated through an implemented prototype. The second important phase is the preparation of data for the multidimensional modeling. We demonstrate that we can use data mining techniques to help the user in building a better multidimensional model.
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Dates et versions

hal-01513636 , version 1 (25-04-2017)

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Adrian Tanasescu, Omar Boussaid, Fadila Bentayeb. Preparing Complex Data for Warehousing. 3rd ACS/IEEE International Conference on Computer Systems and Applications, Jan 2005, Cairo, Egypt. ⟨10.1109/AICCSA.2005.1387027⟩. ⟨hal-01513636⟩
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