PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings (2021)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.1504/IJBIDM.2021.114469
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; GESTÃO DE PROJETOS
- Keywords: project portfolio management; PPM; projects categorisation; topic hierarchy learning; hierarchical clustering
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Business Intelligence and Data Mining
- ISSN: 1743-8187
- Volume/Número/Paginação/Ano: v. 18, n. 3, p. 364-382, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PINTO, Ricardo A. M e BERNARDINI, Flávia Cristina e MARCACINI, Ricardo Marcondes. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. International Journal of Business Intelligence and Data Mining, v. 18, n. 3, p. 364-382, 2021Tradução . . Disponível em: https://doi.org/10.1504/IJBIDM.2021.114469. Acesso em: 13 fev. 2026. -
APA
Pinto, R. A. M., Bernardini, F. C., & Marcacini, R. M. (2021). PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. International Journal of Business Intelligence and Data Mining, 18( 3), 364-382. doi:10.1504/IJBIDM.2021.114469 -
NLM
Pinto RAM, Bernardini FC, Marcacini RM. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 18( 3): 364-382.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1504/IJBIDM.2021.114469 -
Vancouver
Pinto RAM, Bernardini FC, Marcacini RM. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 18( 3): 364-382.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1504/IJBIDM.2021.114469 - Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
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Informações sobre o DOI: 10.1504/IJBIDM.2021.114469 (Fonte: oaDOI API)
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