Time series pattern identification by hierarchical community detection (2021)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; ANGHINONI, LEANDRO - ICMC ; SILVA, THIAGO CHRISTIANO - FFCLRP
- Unidades: FFCLRP; ICMC
- DOI: 10.1140/epjs/s11734-021-00163-4
- Subjects: REDES COMPLEXAS; ANÁLISE DE SÉRIES TEMPORAIS; RECONHECIMENTO DE PADRÕES
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2021
- Source:
- Título: European Physical Journal - Special Topics
- ISSN: 1951-6355
- Volume/Número/Paginação/Ano: v. 230, n. 14-15, p. 2775-2782, Oct. 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ANGHINONI, Leandro et al. Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2775-2782, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00163-4. Acesso em: 17 fev. 2026. -
APA
Anghinoni, L., Vega-Oliveros, D. A., Silva, T. C., & Liang, Z. (2021). Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, 230( 14-15), 2775-2782. doi:10.1140/epjs/s11734-021-00163-4 -
NLM
Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4 -
Vancouver
Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4 - Analysis of the effectiveness of public health measures on COVID-19 transmission
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Informações sobre o DOI: 10.1140/epjs/s11734-021-00163-4 (Fonte: oaDOI API)
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