descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Preprint 27 Nov 2002Publisher:IEEE Comput. SocJournal:Proceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243)

Authors: Gebhardt, M.; Jarke, M.; Jeusfeld, M.A.; Quix, C.; Sklorz, S.;

doi: 10.1109/ssdm.1998.688130

Tools for data warehouse quality

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Abstract

We show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager ConceptBase is intended to enrich the semantics of data warehouse solutions by including an explicit enterprise-centered concept of quality. The positive impact of precise multidimensional data models on the client interface is demonstrated by CoDecide, an Internet-based toolkit for the flexible visualization of multiple, interrelated data cubes. Finally, MIDAS is a hybrid data mining system which analyses multi-dimensional data to further enrich the semantics of the meta database, using a combination of neural network techniques, fuzzy logic and machine learning.

Related Organizations

Tilburg University
Netherlands
RWTH Aachen University
Germany

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