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Cluster method of description of information system data model based on multidimensional approachMultidimensional data cube is a data model at the information systems based on the multidimensional

DEVELOPING SPARSITY SCHEMES OF MULTIDIMENSIONAL DATA CUBES the degree of sparseness of the analytic space during query optimization to the cube data.

Data reclassification of multidimensional information system designed using cluster method of metadata descriptionThe structure of a multidimensional data cube is determined by the aspects of analysis

Multidimensional information systems metadata repository development with a data warehouse structure using “data vault” methodology marts to be created with the structure of a multidimensional data model based on the Star relational

The description of metadata of the multidimensional information systems using test data of describing the structure of a multidimensional cube. Such structures are data models that express

Methods for identifying clusters of cells in sparse data cubes of multidimensional information systemsThe data model in information system based on the multi-dimensional approach is a multidimensional

Analytical Information System Conceptual Object-Oriented Multidimensional Metamodel Implementation in domain modeling. In the article it is offered to use this principles while implementing a multi-dimensional

Mathematical multidimensional data modelThe paper proposes a formal mathematical definition of the multidimensional data model basic terms

The application of classification schemes while describing metadata of the multidimensional information system based on the cluster method are combined by operations of set theory describes the structure of the multidimensional data cube

Designing Multidimensional Information Systems Using the Data Vault Methodology is considered. This approach allows building an information system data warehouse based on the basis of meta-model

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