Модели данных для отдельных проблемно-ориентированных баз данных

Abstract

The paper studies phenomenological analysis methods and tools applicable to empirical or statistical information that in the form of time series reflects the change and development processes of different nature systems. The main research hypothesis is related to the possibility of using tabular-temporal data to create the set of models in the form of phenomenological descriptions of processes and events. The models differ from others by representing quantitative information with multidimensional field as well as existence of scalar fields of empirical measures for complex assessment of the system states. This hypothesis may be accepted or rejected based on the processing of available data. The most adequate models may be selected among the set of models using supervised modeling algorithms. The paper gives the proposals for creating phenomenological analysis software. The creation of data models may help to increase the effectiveness of the work conducted by researchers, analysts and experts during the exploration of natural processes and events, analyses of global and regional development processes, solving tasks of environmental protection, biodiversity and industrial safety.