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Methods for identifying clusters of cells in sparse data cubes of multidimensional information systems in the process of data analysis. Possible cube cells can be represented as possible member combinations

Multidimensional Information System Metadata Description Using the “Data Vault” Methodology of memberscombinations will be formed in the metadata. The complete metadata structure can be achieved

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

Cluster method of description of information system data model based on multidimensional approach approach. If one uses a large set of aspects for the analysis of data domain the data cubes

Data reclassification of multidimensional information system designed using cluster method of metadata description of the structure of a multidimensional data cube is based on identification of groups of members which

The description of metadata of the multidimensional information systems using test data between groups of members of different dimensions allows to identify clusters in the data cube, i.e. sets

Objects of interest detection by earth remote sensing data analysis data cube. If one uses a large set of aspects for the analysis of data domain the data cubes

CLUSTER METHOD-BASED DESCRIPTION OF MULTIDIMENSIONAL INFORMATION SYSTEM METADATA. The cells included in a cluster can be defined by combinations of members which are the cube dimensions

CLASSIFICATION SCHEME-BASED GENERATION OF MULTIDIMENSIONAL INFORMATION SYSTEM METADATA of the information system are presented as a set of possible member combinations, which is formed as a set

Leading Approaches to the Administrative Law in the Personnel Management System of organizations of the EU member States and the possibility of its development in Russia. The personne management

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