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Framework of fractals in data analysis: theory and interpretation
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”.
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231285/ https://www.ncbi.nlm.nih.gov/pubmed/37359187 http://dx.doi.org/10.1140/epjs/s11734-023-00890-w |
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author | Gowrisankar, A. Banerjee, Santo |
author_facet | Gowrisankar, A. Banerjee, Santo |
author_sort | Gowrisankar, A. |
collection | PubMed |
description | 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”. |
format | Online Article Text |
id | pubmed-10231285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-102312852023-06-01 Framework of fractals in data analysis: theory and interpretation Gowrisankar, A. Banerjee, Santo Eur Phys J Spec Top Editorial 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”. Springer Berlin Heidelberg 2023-05-31 /pmc/articles/PMC10231285/ /pubmed/37359187 http://dx.doi.org/10.1140/epjs/s11734-023-00890-w Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Editorial Gowrisankar, A. Banerjee, Santo Framework of fractals in data analysis: theory and interpretation |
title | Framework of fractals in data analysis: theory and interpretation |
title_full | Framework of fractals in data analysis: theory and interpretation |
title_fullStr | Framework of fractals in data analysis: theory and interpretation |
title_full_unstemmed | Framework of fractals in data analysis: theory and interpretation |
title_short | Framework of fractals in data analysis: theory and interpretation |
title_sort | framework of fractals in data analysis: theory and interpretation |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231285/ https://www.ncbi.nlm.nih.gov/pubmed/37359187 http://dx.doi.org/10.1140/epjs/s11734-023-00890-w |
work_keys_str_mv | AT gowrisankara frameworkoffractalsindataanalysistheoryandinterpretation AT banerjeesanto frameworkoffractalsindataanalysistheoryandinterpretation |