An Integrated Environment of Handling and Storing Information in the Tasks of Inductive Modeling. Nataliya V. Shcherbakova, Volodymyr S. Stepashko

Abstract. When solving real tasks of model construction from statistical data, the question arises of storage of and providing effective access to the information. On the stage of input data processing there are typical difficulties which do not depend on the choice of a modeling method, namely data processing in different formats which contain omissions and untypical small values etc. From the other side, the question of output information storage exists like structure and parameters of models, estimation of validity and exactness, graphics etc. To solve such kind of problems, the integrated environment of information storage is developed which allow to structure input data of different types and to use the information already existing in the base and also provide the storage of a complete information on experiments and results of calculations. To operate with the algorithms used for inductive modeling, the use of the XML-storage for saving of statistical input data and calculations results is relevant. Keeping metadata in a relational database is appropriate in this case, which allows simplifying any manipulations with them.

Keywords. Inductive modeling, integrated environment of storage, information structuring, XML-storage.

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