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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
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A performance analysis of stochastic processes and machine learning algorithms in stock market prediction
Bouasabah, Mohammed - In: Economies : open access journal 12 (2024) 8, pp. 1-12
In this study, we compare the performance of stochastic processes, namely, the Vasicek, Cox-Ingersoll-Ross (CIR), and geometric Brownian motion (GBM) models, with that of machine learning algorithms, such as Random Forest, Support Vector Machine (SVM), and k-Nearest Neighbors (KNN), for...
Persistent link: https://www.econbiz.de/10015070753
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Trade sentiment and the stock market : new evidence based on big data textual analysis of Chinese media
Amstad, Marlene; Gambacorta, Leonardo; He, Chao; Xia, … - 2021
Persistent link: https://www.econbiz.de/10012483485
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Trade sentiment and the stock market : new evidence based on big data textual analysis of Chinese media
Amstad, Marlene; Gambacorta, Leonardo; He, Chao; Xia, … - 2021
Persistent link: https://www.econbiz.de/10012416565
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Process mining through artificial neural networks and support vector machines : a systematic literature review
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415
Persistent link: https://www.econbiz.de/10011487995
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Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods
Kosala, Raymond - In: International journal of business information systems : … 26 (2017) 2, pp. 139-150
Persistent link: https://www.econbiz.de/10011856393
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Estimation of cross-lingual news similarities using text-mining methods
Wang, Zhouhao; Liu, Enda; Sakaji, Hiroki; Ito, Tomoki; … - In: Journal of risk and financial management : JRFM 11 (2018) 1, pp. 1-13
In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...
Persistent link: https://www.econbiz.de/10011855132
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A big data analytics approach for construction firms failure prediction models
Alaka, Hafiz; Oyedele, Lukumon; Owolabi, Hakeem; … - In: IEEE transactions on engineering management : EM 66 (2019) 4, pp. 689-698
Persistent link: https://www.econbiz.de/10012129927
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Forecasting sovereign risk in the euro area via machine learning
Belly, Guillaume; Boeckelmann, Lukas; Caicedo Graciano, … - In: Journal of forecasting 42 (2023) 3, pp. 657-684
Persistent link: https://www.econbiz.de/10014292224
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Predicting stock price using two-stage machine learning techniques
Zhang, Jun; Li, Lan; Chen, Wei - In: Computational economics 57 (2021) 4, pp. 1237-1261
Persistent link: https://www.econbiz.de/10012543291