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1 Ergebnisse
1
A Corporate Financial Statement Fraud Model Based on Extrac..:
, In:
2024 9th International Conference on Big Data Analytics (ICBDA)
,
Cheng, Ching-Hsue
- p. 144-148 , 2024
Link:
https://doi.org/10.1109/ICBDA61153.2024.10607289
RT T1 <cTitle>2024 9th International Conference on Big Data Analytics (ICBDA)</cTitle>: T1 <Title>A Corporate Financial Statement Fraud Model Based on Extracting Correlated Topic Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10607289&Exemplar=1&LAN=DE A1 Cheng, Ching-Hsue YR 2024 K1 Measurement K1 Analytical models K1 Text analysis K1 Finance K1 Companies K1 Coherence K1 Feature extraction K1 financial statement fraud K1 correlated topic model K1 SMOTE sampling K1 natural language processing SP 144 OP 148 LK http://dx.doi.org/https://doi.org/10.1109/ICBDA61153.2024.10607289 DO https://doi.org/10.1109/ICBDA61153.2024.10607289 SF ELIB - SuUB Bremen
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