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Fractal Paradigm and IT-Technologies for Processing, Analyzing and Classifying Large Flows of Astronomical Data

  • Alexei V. Myshev
  • Andrei V. Dunin
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 822)

Abstract

In the paper the fractal paradigm of constructing models and logical schemes of algorithms and procedures for information processing, analysis and classification of large flows of astronomical data on the orbits and trajectories of small bodies is considered. The methodology for constructing such models and schemes is based on the construction of estimates of proximity and connectivity criteria for orbits and trajectories in the space of possible states using the corresponding mathematical apparatus of fractal dimensions. The logical, algorithmic and substantial essence of the fractal paradigm is as follows. First, the processing and analysis of the data flow of orbits and trajectories is to determine whether it forms a fractal structure? If so, then one have to determine the centers of fractal connectivity of the flow and obtain estimates of the index of information connectivity of orbits or trajectories. Secondly, isolate the monofractal structures in the flow and classify them according to the attribute of belonging to the classes of a percolating fractal or a fractal aggregate.

Keywords

Connectedness orbits Fractal measures Fractal dimension Percolating fractal Fractal aggregate 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.National Research Nuclear University MEPhI (IATE)ObninskRussia

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