[RDF data]
Home | Example Publications
PropertyValue
dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/bpm/BadeVKKC22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Andr%E2%88%9A%C2%A9_Coners>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Carolin_Vollenberg>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Friederike-Maria_Bade>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jannis_Koch>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Julian_Koch>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-031-16103-2%5F16>
foaf:homepage <https://doi.org/10.1007/978-3-031-16103-2_16>
dc:identifier DBLP conf/bpm/BadeVKKC22 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-16103-2%5F16 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label The Dark Side of Process Mining. How Identifiable Are Users Despite Technologically Anonymized Data? A Case Study from the Health Sector. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Andr%E2%88%9A%C2%A9_Coners>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Carolin_Vollenberg>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Friederike-Maria_Bade>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jannis_Koch>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Julian_Koch>
swrc:pages 219-233 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/bpm/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/bpm/BadeVKKC22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/bpm/BadeVKKC22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/bpm/bpm2022.html#BadeVKKC22>
rdfs:seeAlso <https://doi.org/10.1007/978-3-031-16103-2_16>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/bpm>
dc:title The Dark Side of Process Mining. How Identifiable Are Users Despite Technologically Anonymized Data? A Case Study from the Health Sector. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document