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  • Search: subject:"Multi-class prediction"
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Year of publication
Subject
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Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Insolvency 2 Insolvenz 2 Künstliche Intelligenz 2 Multi-class prediction 2 Algorithm 1 Algorithmus 1 Betriebliche Kennzahl 1 Deep forest algorithm 1 Electronic trading 1 Elektronisches Handelssystem 1 Ensemble learning 1 Feature selection 1 Financial distress prediction 1 Financial ratio 1 Forecast 1 Forestry 1 Forstwirtschaft 1 High-frequency trading 1 Machine learning 1 Mid-price prediction strategy 1 Neural networks 1 Neuronale Netze 1 Prognose 1 Raw data processing 1 Theorie 1 Theory 1 deep neural network 1 financial distress prediction 1 financial network indicators 1 financial status 1 multi-class prediction 1 stacking ensemble 1
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Undetermined 2 CC license 1 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Chen, Xiaofang 2 Wu, Chong 2 Huang, Yuying 1 Liu, Jiaming 1 Mao, Zengli 1 Xing, Li 1 Xu, Ke 1 Zhang, Xuekui 1 Zhang, Zijiao 1
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Computational economics 1 Financial innovation : FIN 1 International journal of finance & economics : IJFE 1
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Novel modelling strategies for high-frequency stock trading data
Zhang, Xuekui; Huang, Yuying; Xu, Ke; Xing, Li - In: Financial innovation : FIN 9 (2023) 1, pp. 1-25
Full electronic automation in stock exchanges has recently become popular, generating high-frequency intraday data and motivating the development of near real-time price forecasting methods. Machine learning algorithms are widely applied to mid-price stock predictions. Processing raw data as...
Persistent link: https://www.econbiz.de/10014288960
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Multi-class financial distress prediction based on stacking ensemble method
Chen, Xiaofang; Wu, Chong; Zhang, Zijiao; Liu, Jiaming - In: International journal of finance & economics : IJFE 30 (2025) 3, pp. 2369-2388
Persistent link: https://www.econbiz.de/10015482469
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Multi-class financial distress prediction based on feature selection and deep forest algorithm
Chen, Xiaofang; Mao, Zengli; Wu, Chong - In: Computational economics 66 (2025) 4, pp. 2715-2754
Persistent link: https://www.econbiz.de/10015591177
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