Horban H. Methods and object oriented information technology of multidimensional data mining

Object: integration of models, methods and information technologies of data analysis in intelligent information systems and decision support systems. Objective: upgrade of information systems intelligence by creation of the instrumental software system of the object multidimensional data bases computer-aided design, methods of the association rules creation by templates and their implementation within the system, which enables to engineer information analysis systems within the object software environment with far less costs. Methods: theory of sets, combination theory, search method of the association rules by Apriori algorithm, object-oriented methodology of computer systems development. For the first time the model of integration of database information technologies, OLAP and Data Mining was proposed. Further developed: - search methods of the association rules in the multidimensional data; - IT of metadata structure building for the object DBMS. Improved: - view model of the association rules; - techniques for constructing of OLAP-cubes. Field of application: business analysis.