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
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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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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:
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