DC Field
Value
Language
dc.contributor.author
Filzmoser, Peter
-
dc.date.accessioned
2023-02-14T10:54:11Z
-
dc.date.available
2023-02-14T10:54:11Z
-
dc.date.issued
2022-08-31
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Filzmoser, P. (2022, August 31). <i>Benford goes multivariate: A new fraud detection method, with application to music streaming data</i> [Conference Presentation]. Models and Learning in Clustering and Classification, Catania, Italy.</div> </div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/152353
-
dc.language.iso
en
-
dc.subject
multivariate
en
dc.subject
Fraud detection
en
dc.title
Benford goes multivariate: A new fraud detection method, with application to music streaming data
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
C1
-
tuw.researchTopic.name
Computational Materials Science
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E105-06 - Forschungsbereich Computational Statistics
-
tuw.author.orcid
0000-0002-8014-4682
-
tuw.event.name
Models and Learning in Clustering and Classification
-
tuw.event.startdate
31-08-2022
-
tuw.event.enddate
31-08-2022
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Catania
-
tuw.event.country
IT
-
tuw.event.presenter
Filzmoser, Peter
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
5020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
10
-
wb.sciencebranch.value
20
-
wb.sciencebranch.value
70
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.grantfulltext
none
-
item.openairetype
conference paper not in proceedings
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cp
-
crisitem.author.dept
E105-06 - Forschungsbereich Computational Statistics
-
crisitem.author.orcid
0000-0002-8014-4682
-
crisitem.author.parentorg
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
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