Year: 2018
Type: conference-paper
Abstract: The article considers classification task of fractal time series by the meta algorithms based on decision trees. Binomial multiplicative stochastic cascades are used as input time series. Comparative analysis of the classification approaches based on different features is carried out. The results indicate the advantage of the machine learning methods over the traditional estimating the degree of self-similarity.
Authors: Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova
Institution: Kharkiv National University of Radio Electronics
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2951494201