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DAWAK
2006
Springer

Extending Visual OLAP for Handling Irregular Dimensional Hierarchies

9 years 2 months ago
Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On-Line Analytical Processing) systems, designed for satisfying the reporting needs of the business, tend to perform poorly or even fail when applied in non-business domains such as medicine, science, or government. The underlying multidimensional data model is restricted to aggregating only over summarizable data, i.e. where each dimensional hierarchy is a balanced tree. This limitation, obviously too rigid for a number of applications, has to be overcome in order to provide adequate OLAP support for novel domains. We present a framework for querying complex multidimensional data, with the major effort at the conceptual level as to transform irregular hierarchies to make them navigable in a uniform manner. We provide a classification of various behaviors in dimensional hierarchies, followed by our two-phase modeling method that proceeds by eliminating irregularities in the data with subse...
Svetlana Mansmann, Marc H. Scholl
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAWAK
Authors Svetlana Mansmann, Marc H. Scholl
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