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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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Bankruptcy prediction using support vector machines and feature selection during the recent financial crisis
Dellepiane, Umberto; Di Marcantonio, Michele; Laghi, Enrico - In: International journal of economics and finance 7 (2015) 8, pp. 182-195
Persistent link: https://www.econbiz.de/10011346867
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Adapting support vector optimisation algorithms to textual gender classification
Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488
Persistent link: https://www.econbiz.de/10015188211
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Customer segmentation in private banking sector using machine learning techniques
Smeureanu, Ion; Ruxanda, Gheorghe; Badea, Laura Maria - In: Journal of business economics and management 14 (2013) 5, pp. 923-939
Persistent link: https://www.econbiz.de/10010199073
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Predicting corporate financial distress using data mining techniques : an application in Tehran Stock Exchange
Salehi, Mahdi; Shiri, Mahmoud Mousavi; Pasikhani, … - In: International journal of law and management : IJLMA 58 (2016) 2, pp. 216-230
Persistent link: https://www.econbiz.de/10011485759
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Text classification for organizational researchers : a tutorial
Kobayashi, Vladimer B.; Mol, Stefan T.; Berkers, Hannah A. - In: Organizational research methods : ORM 21 (2018) 3, pp. 766-799
Persistent link: https://www.econbiz.de/10011880171
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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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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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Depth-based support vector classifiers to detect data nests of rare events
Dyckerhoff, Rainer; Stenz, Hartmut Jakob - In: International journal of computational economics and … 11 (2021) 2, pp. 107-142
Persistent link: https://www.econbiz.de/10012507582
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Using predictive analytics to measure effectiveness of social media engagement : a digital measurement perspective
Kennedy, Heather; Kunkel, Thilo; Funk, Daniel C. - In: Sport marketing quarterly : preferred journal of the … 30 (2021) 4, pp. 265-277
Persistent link: https://www.econbiz.de/10012816107