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Methods for identifying clusters of cells in sparse data cubes of multidimensional information systems
Fomin M.B., Smirnov I.V.
cubes with sparseness. It complicates the data storage organization and creates difficulties
Cluster method of description of information system data model based on multidimensional approach
Fomin M.
Multidimensional data cube is a data model at the information systems based on the multidimensional
Building a data model of a multidimensional information system in the case of sparse information
Muratova Z.M.
Filling of a multidimensional cube data at insufficient quantity of basic data and at large number
Data reclassification of multidimensional information system designed using cluster method of metadata description
Fomin M.B.
The structure of a multidimensional data cube is determined by the aspects of analysis
The application of classification schemes while describing metadata of the multidimensional information system based on the cluster method
Fomin M.
for the cells of the multidimensional cube. The cluster method can be used for the description of the sparse
CLUSTER METHOD-BASED DESCRIPTION OF MULTIDIMENSIONAL INFORMATION SYSTEM METADATA
Fomin M.B.
. RESULTS. Data cubes are characterized by substantial sparseness in the systems with multi
Objects of interest detection by earth remote sensing data analysis
Demidova A.V., Fomin M.B., Shorokhov S.G.
system and complicates the organization of data storage. To describe the structure of a sparse data cube
The description of metadata of the multidimensional information systems using test data
Fomin M.B.
of the characteristics of the observed phenomenon using a large number of aspects, the multidimensional data cube, which
DEVELOPING SPARSITY SCHEMES OF MULTIDIMENSIONAL DATA CUBES
Стихуров В.В., Фомин М.Б.
the degree of sparseness of the analytic space during query optimization to the cube data.
CLASSIFICATION SCHEME-BASED GENERATION OF MULTIDIMENSIONAL INFORMATION SYSTEM METADATA
Fomin M.B., Kuznetsov E.A., Shorokhov S.G.
subject domain, data cubes are characterized by high sparseness, which complicates metadata generation

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