A formal taxonomy to improve data defect description (2016)
- Authors:
- Autor USP: FERREIRA, JOÃO EDUARDO - IME
- Unidade: IME
- DOI: 10.1007/978-3-319-32055-7_25
- Subjects: CIÊNCIA DA COMPUTAÇÃO; MINERAÇÃO DE DADOS; BIG DATA
- Keywords: data defects; dirty data; formal taxonomy; data quality assessment; relational database
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Database Systems for Advanced Applications - DASFAA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
JOSKO, João Marcelo Borovina e OIKAWA, Márcio Katsumi e FERREIRA, João Eduardo. A formal taxonomy to improve data defect description. 2016, Anais.. Cham: Springer, 2016. Disponível em: https://doi.org/10.1007/978-3-319-32055-7_25. Acesso em: 05 jun. 2024. -
APA
Josko, J. M. B., Oikawa, M. K., & Ferreira, J. E. (2016). A formal taxonomy to improve data defect description. In Proceedings. Cham: Springer. doi:10.1007/978-3-319-32055-7_25 -
NLM
Josko JMB, Oikawa MK, Ferreira JE. A formal taxonomy to improve data defect description [Internet]. Proceedings. 2016 ;[citado 2024 jun. 05 ] Available from: https://doi.org/10.1007/978-3-319-32055-7_25 -
Vancouver
Josko JMB, Oikawa MK, Ferreira JE. A formal taxonomy to improve data defect description [Internet]. Proceedings. 2016 ;[citado 2024 jun. 05 ] Available from: https://doi.org/10.1007/978-3-319-32055-7_25 - Services -- SERVICES 2020: 16th World Congress, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings
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Informações sobre o DOI: 10.1007/978-3-319-32055-7_25 (Fonte: oaDOI API)
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