Nikolski I. The models of the data analysis process with uncertainty and redundancy

The thesis resolved the important scientific and applied research for the problem of constructing the models in data analysis process as an integrated computational procedure under uncertainty and redundancy. Such model will provide the opportunity to build processes for a wide range of domains. It gives the possibility to evaluate the effectiveness of the similar models from the same position, to choose an adequate method to forming dependencies in the data, to apply the processes that were already developed, for new tasks and domains. A process model was adapted for the analysis processes in various domains and for different manifestations of uncertainty and redundancy.