Eur. Phys. J. Spec. Top. (2023) 232: 965-967
https://doi.org/10.1140/epjs/s11734-023-00890-w
https://doi.org/10.1140/epjs/s11734-023-00890-w
Editorial
Framework of fractals in data analysis: theory and interpretation
1
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, 632 014, Vellore, Tamil Nadu, India
2
Dipartimento di Scienze Matematiche, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Torino, Italy
This special issue is a compilation of pioneering research articles that explore the robustness of fractal theories to address and analyse the complexity of real-time data under the topic “Framework of Fractals in Data Analysis: Theory and Interpretation”.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023
