Modeling and data processing of information systems

Abstract

This paper analyses data modeling and approaches for finding regularities in large sets of data, as well as their application. The applications of the presented approaches are based on data derived from a relatively large information system (University of Library Studies and Information Technologies, Sofia, Bulgaria). This paper presents models and techniques to determine optimal speed of data processing and define critical points. The results are also analyzed and discussed. At the end of the paper we provide an instance with a large sample of the real observations and all results are illustrated with examples.