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Predicting student performance : a classification model using machine learning algorithms
Alshdaifat, Esra'a; Zaid, Aisha; Alshdaifat, Ala'a - In: International journal of business information systems : … 39 (2022) 3, pp. 349-364
Persistent link: https://www.econbiz.de/10013198420
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Predicting earnings management through machine learning ensemble classifiers
Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660
Persistent link: https://www.econbiz.de/10013465733
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Classifying businesses by economic activity using web-based text mining
Roelands, Maarten; Delden, Arnout van; Windmeijer, Dick - 2017
Persistent link: https://www.econbiz.de/10011756363
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High dimensional data classification and feature selection using support vector machines
Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 265 (2018) 3, pp. 993-1004
Persistent link: https://www.econbiz.de/10011778669
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Machine learning techniques for default prediction : an application to small Italian companies
Bazzana, Flavio; Bee, Marco; Khatir, Ahmed Almustfa … - In: Risk management : an international journal 26 (2024) 1, pp. 1-23
Persistent link: https://www.econbiz.de/10014478823
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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, Asunción; Morales, Juan M.; Pineda, … - In: European journal of operational research : EJOR 293 (2021) 1, pp. 24-35
Persistent link: https://www.econbiz.de/10012502445
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Mid-Price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators
Ntakaris, Adamantios; Kanniainen, Juho; Gabbouj, Moncef; … - 2018
Stock price prediction is a challenging task, but machine learning methods have recently been used successfully for this purpose. In this paper, we extract over 270 hand-crafted features (factors) inspired by technical and quantitative analysis and tested their validity on short-term mid-price...
Persistent link: https://www.econbiz.de/10014112633
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Artificial fish swarm algorithm-based multilayer perceptron model for customer churn prediction in IoT with cloud environment
Venkatesh, S.; Jeyakarthic, M. - In: International journal of business information systems : … 44 (2023) 3, pp. 442-465
Persistent link: https://www.econbiz.de/10014437853
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A hybrid ensemble learning-based prediction model to minimise delay in air cargo transport using bagging and stacking
Sahoo, Rosalin; Pasayat, Ajit Kumar; Bhowmick, Bhaskar; … - In: International journal of production research 60 (2022) 2, pp. 644-660
Persistent link: https://www.econbiz.de/10012873196
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An AutoML application to forecasting bank failures
Agrapetidou, Anna; Charonyktakis, Paulos; Gkonkas, Periklēs - In: Applied economics letters 28 (2021) 1, pp. 5-9
Persistent link: https://www.econbiz.de/10012415035