Data science: measuring uncertainties

Carlos Alberto de Braganca Pereira; Adriano Polpo; Agatha Sacramento Rodrigues

doi:10.3390/e22121438

Data science: measuring uncertainties

Carlos Alberto de Braganca Pereira
, Adriano Polpo
, Agatha Sacramento Rodrigues

Mathematics and Statistics

Research output: Contribution to journal › Editorial › peer-review

1 Citation (Scopus)

Original language	English
Article number	1438
Pages (from-to)	1-6
Number of pages	6
Journal	Entropy
Volume	22
Issue number	12
DOIs	https://doi.org/10.3390/e22121438
Publication status	Published - Dec 2020

Access to Document

10.3390/e22121438Licence: CC BY

Cite this

@article{7200c817179c4bafb0e9c5b5276022c0,

title = "Data science: measuring uncertainties",

author = "Pereira, \{Carlos Alberto de Braganca\} and Adriano Polpo and Rodrigues, \{Agatha Sacramento\}",

year = "2020",

month = dec,

doi = "10.3390/e22121438",

language = "English",

volume = "22",

pages = "1--6",

journal = "Entropy",

issn = "1099-4300",

publisher = "MDPI AG",

number = "12",

}

TY - JOUR

T1 - Data science

T2 - measuring uncertainties

AU - Pereira, Carlos Alberto de Braganca

AU - Polpo, Adriano

AU - Rodrigues, Agatha Sacramento

PY - 2020/12

Y1 - 2020/12

UR - https://www.scopus.com/pages/publications/85098652783

U2 - 10.3390/e22121438

DO - 10.3390/e22121438

M3 - Editorial

C2 - 33419285

AN - SCOPUS:85098652783

SN - 1099-4300

VL - 22

SP - 1

EP - 6

JO - Entropy

JF - Entropy

IS - 12

M1 - 1438

ER -

Data science: measuring uncertainties

Access to Document

Other files and links

Data Science: Measuring Uncertainties

Cite this