Enhancing completion time prediction through attribute selection (2019)
- Authors:
- USP affiliated authors: FANTINATO, MARCELO - EACH ; PERES, SARAJANE MARQUES - EACH
- Unidade: EACH
- DOI: 10.1007/978-3-030-15154-6_1
- Subjects: TECNOLOGIA DA INFORMAÇÃO; MINERAÇÃO DE DADOS; NEGÓCIOS
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título: Lecture Notes in Business Information Processing
- ISSN: 1865-1348
- Volume/Número/Paginação/Ano: v. 346, p. 03-23, Feb. 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
AMARAL, Claudio A. L. et al. Enhancing completion time prediction through attribute selection. Lecture Notes in Business Information Processing, v. 346, p. 03-23, 2019Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-15154-6_1. Acesso em: 12 fev. 2026. -
APA
Amaral, C. A. L., Fantinato, M., Reijers, H. A., & Peres, S. M. (2019). Enhancing completion time prediction through attribute selection. Lecture Notes in Business Information Processing, 346, 03-23. doi:10.1007/978-3-030-15154-6_1 -
NLM
Amaral CAL, Fantinato M, Reijers HA, Peres SM. Enhancing completion time prediction through attribute selection [Internet]. Lecture Notes in Business Information Processing. 2019 ; 346 03-23.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-030-15154-6_1 -
Vancouver
Amaral CAL, Fantinato M, Reijers HA, Peres SM. Enhancing completion time prediction through attribute selection [Internet]. Lecture Notes in Business Information Processing. 2019 ; 346 03-23.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-030-15154-6_1 - Human-computer interaction and artificial intelligence: multidisciplinarity aiming game accessibilit
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Informações sobre o DOI: 10.1007/978-3-030-15154-6_1 (Fonte: oaDOI API)
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