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Record link:
http://hdl.handle.net/20.500.12708/152353
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Title:
Benford goes multivariate: A new fraud detection method, with application to music streaming data
en
Citation:
Filzmoser, P. (2022, August 31).
Benford goes multivariate: A new fraud detection method, with application to music streaming data
[Conference Presentation]. Models and Learning in Clustering and Classification, Catania, Italy.
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Publication Type:
Presentation - Conference Presentation
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Vortrag - Conference Presentation
de
Language:
English
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Authors:
Filzmoser, Peter
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Organisational Unit:
E105-06 - Forschungsbereich Computational Statistics
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Date (published):
31-Aug-2022
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Event name:
Models and Learning in Clustering and Classification
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Event date:
31-Aug-2022
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Event place:
Catania, Italy
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Keywords:
multivariate; Fraud detection
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Research Areas:
Computational Materials Science: 100%
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Science Branch:
1020 - Informatik: 10%
5020 - Wirtschaftswissenschaften: 20%
1010 - Mathematik: 70%
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Appears in Collections:
Presentation
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