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A Storage Scheme for Multi-dimensional Databases Using Extendible Array Files
2006
International Workshop on Spatio-Temporal Database Management
Large scale scientific datasets are generally modeled as k-dimensional arrays, since this model is amenable to the form of analyses and visualization of the scientific phenomenon often investigated. In recent years, organizations have adopted the use of on-line analytical processing (OLAP), methods and statistical analyses to make strategic business decisions using enterprise data that are modeled as multi-dimensional arrays as well. In both of these domains, the datasets have the propensity to
dblp:conf/stdbm/OtooR06
fatcat:hcaefytulnd6rbg435ixbnucky