The Quest for Workable Data. Building Machine Learning Algorithms from Public Sector Archives

Book part:
The Quest for Workable Data. Building Machine Learning Algorithms from Public Sector Archives

dc.contributor.editor	Sudmann, Andreas
dc.creator	Reutter, Lisa
dc.creator	Spilker, Hendrik Storstein
dc.date.accessioned	2020-03-10T12:49:25Z
dc.date.available	2020-03-10T12:49:25Z
dc.date.issued	2019
dc.identifier.doi	10.25969/mediarep/13551
dc.identifier.uri	https://mediarep.org/handle/doc/14477
dc.language	eng
dc.publisher	transcript
dc.publisher.place	Bielefeld
dc.relation.isPartOf	isbn:978-3-8394-4719-2
dc.relation.isPartOf	doi:https://doi.org/10.25969/mediarep/13536
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Künstliche Intelligenz	de
dc.subject	Demokratie	de
dc.subject	Politik	de
dc.subject	Open Data	de
dc.subject	Norwegen	de
dc.subject.ddc	ddc:004
dc.subject.ddc	ddc:320
dc.title	The Quest for Workable Data. Building Machine Learning Algorithms from Public Sector Archives	en
dc.type	bookPart
dc.type.status	publishedVersion
dcterms.bibliographicCitation	Lisa Reutter und Hendrik Storstein Spilker: The Quest for Workable Data. Building Machine Learning Algorithms from Public Sector Archives. In: Andreas Sudmann (Hg.): The democratization of artificial intelligence. Net politics in the era of learning algorithms. Bielefeld: transcript (2019), S. 95–107. DOI: http://dx.doi.org/10.25969/mediarep/13551.
dspace.entity.type	BookPart	en
local.coverpage	2021-05-29T01:08:00
local.source.booktitle	The democratization of artificial intelligence. Net politics in the era of learning algorithms
local.source.epage	107
local.source.spage	95

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