A scheme for high level data classification using random walk and network measures (2018)
Fonte: Expert Systems with Applications. Unidade: FFCLRP
Assuntos: APRENDIZADO COMPUTACIONAL, GESTÃO DA INFORMAÇÃO, PASSEIOS ALEATÓRIOS
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CUPERTINO, Thiago Henrique et al. A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, v. 92, p. 289-303, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.09.014. Acesso em: 09 nov. 2025.APA
Cupertino, T. H., Carneiro, M. G., Qiusheng, Z., Junbao, Z., & Liang, Z. (2018). A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, 92, 289-303. doi:10.1016/j.eswa.2017.09.014NLM
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014Vancouver
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
