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1 Ergebnisse
1
Does Double-entry Bookkeeping Information Generated Using n..:
, In:
2023 IEEE International Conference on Big Data (BigData)
,
Motai, Ryoki
;
Kamebuchi, Masato
;
Watanabe, Sora
.. - p. 3194-3201 , 2023
Link:
https://doi.org/10.1109/BigData59044.2023.10386588
RT T1 <cTitle>2023 IEEE International Conference on Big Data (BigData)</cTitle>: T1 <Title>Does Double-entry Bookkeeping Information Generated Using node2vec Contribute to Forecasting Future Performance?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10386588&Exemplar=1&LAN=DE A1 Motai, Ryoki A1 Kamebuchi, Masato A1 Watanabe, Sora A1 Matsumoto, Ryo A1 Okada, Yukihiko YR 2023 K1 Measurement K1 Reactive power K1 Companies K1 Machine learning K1 Predictive models K1 Data models K1 Data mining K1 double-entry bookkeeping K1 journal entry K1 sales and profit prediction K1 Granger causality K1 network metrics K1 node embedding SP 3194 OP 3201 LK http://dx.doi.org/https://doi.org/10.1109/BigData59044.2023.10386588 DO https://doi.org/10.1109/BigData59044.2023.10386588 SF ELIB - SuUB Bremen
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