How to take advantage of behavioral features for the early detection of grooming in online conversations (2022)
- Authors:
- USP affiliated authors: CORDEIRO, ROBSON LEONARDO FERREIRA - ICMC ; FLORES, DANIELA FERNANDA MILON - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.knosys.2021.108017
- Subjects: RECONHECIMENTO DE TEXTO; FRAMEWORKS; PLATAFORMA DIGITAL; CORRUPÇÃO DE MENORES
- Keywords: Early text classification; Classification with partial information; Behavioral features; Online grooming detection
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Knowledge-Based Systems
- ISSN: 0950-7051
- Volume/Número/Paginação/Ano: v. 240, p. 1-29, Mar. 2022
- Este artigo NÃO possui versão em acesso aberto
-
Status: Nenhuma versão em acesso aberto identificada -
ABNT
MILON-FLORES, Daniela Fernanda e CORDEIRO, Robson Leonardo Ferreira. How to take advantage of behavioral features for the early detection of grooming in online conversations. Knowledge-Based Systems, v. 240, p. 1-29, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2021.108017. Acesso em: 11 mar. 2026. -
APA
Milon-Flores, D. F., & Cordeiro, R. L. F. (2022). How to take advantage of behavioral features for the early detection of grooming in online conversations. Knowledge-Based Systems, 240, 1-29. doi:10.1016/j.knosys.2021.108017 -
NLM
Milon-Flores DF, Cordeiro RLF. How to take advantage of behavioral features for the early detection of grooming in online conversations [Internet]. Knowledge-Based Systems. 2022 ; 240 1-29.[citado 2026 mar. 11 ] Available from: https://doi.org/10.1016/j.knosys.2021.108017 -
Vancouver
Milon-Flores DF, Cordeiro RLF. How to take advantage of behavioral features for the early detection of grooming in online conversations [Internet]. Knowledge-Based Systems. 2022 ; 240 1-29.[citado 2026 mar. 11 ] Available from: https://doi.org/10.1016/j.knosys.2021.108017 - 'HALITE IND.DS': agrupamento de dados em subespaços de séries temporais multidimensionais
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