Fractal methods in intelligent technologies for processing large data streams

Abstract

In this work a new approach to the construction of models and logic circuits of algorithms and procedures for information technology processing and analysis of big data streams within the fractal paradigm is describes. In this case, data streams are defined as information objects whose physical nature can be arbitrary. The information object is investigated apart from any model or scheme, the logical scheme of intellectual technology is built in the form of: facts, regularities and reality. Fractal methods form the framework of the logical, algorithmic and content essence of the approach. The basic premise of the approach is as follows. First, the processing and analysis of data stream to determine whether it forms a fractal structure and construct a phase portrait of data stream as an information object. Second, to distinguish the areas of fractal percolation and aggregation in the multifractal structure of the stream, the phase portrait is used. Third, to estimate the spatial and temporal scales of fractal percolation and aggregation processes.