The Quest for Workable Data: Building Machine Learning Algorithms from Public Sector Archives
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning
Standard
The Quest for Workable Data : Building Machine Learning Algorithms from Public Sector Archives. / Reutter, Lisa Marie; Storstein Spilker, Hendrik .
The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms. red. / Sudmann Andreas. Transcript Verlag, 2019. s. 95-107.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning
Harvard
Reutter, LM & Storstein Spilker, H 2019, The Quest for Workable Data: Building Machine Learning Algorithms from Public Sector Archives. i S Andreas (red.), The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms. Transcript Verlag, s. 95-107. <https://library.oapen.org/bitstream/id/61810f6f-bf40-404d-b688-61e9ac3405a4/external_content.pdf>
APA
Reutter, L. M., & Storstein Spilker, H. (2019). The Quest for Workable Data: Building Machine Learning Algorithms from Public Sector Archives. I S. Andreas (red.), The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms (s. 95-107). Transcript Verlag. https://library.oapen.org/bitstream/id/61810f6f-bf40-404d-b688-61e9ac3405a4/external_content.pdf
Vancouver
Reutter LM, Storstein Spilker H. The Quest for Workable Data: Building Machine Learning Algorithms from Public Sector Archives. I Andreas S, red., The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms. Transcript Verlag. 2019. s. 95-107
Author
Bibtex
@inbook{d73f01b18278449e8b38ef5275b03560,
title = "The Quest for Workable Data: Building Machine Learning Algorithms from Public Sector Archives",
author = "Reutter, {Lisa Marie} and {Storstein Spilker}, Hendrik",
year = "2019",
language = "English",
pages = "95--107",
editor = "Sudmann Andreas",
booktitle = "The Democratization of Artificial Intelligence",
publisher = "Transcript Verlag",
}
RIS
TY - CHAP
T1 - The Quest for Workable Data
T2 - Building Machine Learning Algorithms from Public Sector Archives
AU - Reutter, Lisa Marie
AU - Storstein Spilker, Hendrik
PY - 2019
Y1 - 2019
M3 - Book chapter
SP - 95
EP - 107
BT - The Democratization of Artificial Intelligence
A2 - Andreas, Sudmann
PB - Transcript Verlag
ER -
ID: 342971231