Formalization of Information Storing Structures in the Tasks of Inductive Modeling. Nataliya Shcherbakova, Volodymyr Stepashko

Abstract. When solving real tasks of model construction from statistical data, the question arises regarding storage of and providing effective access to the information. To solve such a problem, an integrated environment of information storage is developed. Architecture of the environment is offered giving the possibilities to manipulate present information freely due to using relational database which contains only metadata and storage of input statistical data and results of calculations. The main question arising when developing the environment is formalization of information storing structures within the environment. Namely, a format of data storing and presentation of data structures in the storage. During the processing of input data, regardless of a modeling method, data come from different sources (often data contain omissions and atypically small/big values) and should be reduced to an unified form. On the other hand, there is a question of storing the output data, namely the structure and parameters of models, evaluation of reliability and accuracy, graphics etc. These questions are analyzed in the paper.

Keywords. Integrated environment, handling and storing of information, inductive modeling, GMDH.

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