Cluster method of description of information system data model based on multidimensional approach

Abstract

Multidimensional data cube is a data model at the information systems based on the multidimensional approach. If one uses a large set of aspects for the analysis of data domain the data cubes are characterized by substantial sparseness. It complicates the organization of data storage. The proposed cluster method of description of multidimensional data cube is based on the investigation of data domain semantics. The dimensionalities of the multidimensional cube are the dimensions corresponding to the aspects of analysis. The basis of the cluster method is a construction of the groups of members which are semantically related to the groups of other members. Building of associations between the groups of different members allows to reveal the clusters in the data cube – the sets of cells with similar properties which may be described in a same way. Clusters are used as the main element of information system data model.