Drill across & visualization of cubes with non-conformed dimensions
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Development of a data warehouse for lymphoma cancer diagnosis and treatment decision support
MCBC'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry
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In this demonstration, 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.