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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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Application and performance of data mining techniques in stock market : a review
Kaur, Jasleen; Dharni, Khushdeep - In: Intelligent systems in accounting, finance & management 29 (2022) 4, pp. 219-241
Persistent link: https://www.econbiz.de/10014245473
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Construction of an urban multi variable geospatial information integration model based on distributed artificial intelligence
Niu, Lede; Pan, Mei; Zhou, Yan - In: International journal of information technology and … 21 (2022) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10013256091
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Socio-Economic Burden of Disease: The COVID-19 Case
Tomé, Eduardo (contributor); Garavan, Thomas (contributor);  … - 2024
In 2020, the world was shaken by a very unexpected development, an unseen virus which could kill millions and spread without control. To reduce the impact of the pandemic and before the vaccine was created, lockdown and other safety measures were implemented. In this context, the socio-economic...
Persistent link: https://www.econbiz.de/10015085468
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Density and diversity of OpenStreetMap road networks in China
Zhang, Yingjia; Li, Xueming; Wang, Aiming; Bao, Tongliga; … - In: Journal of Urban Management 4 (2015) 2, pp. 135-146
OpenStreetMap is a geographic information platform designed to provide real-time updates and user-generated content related to its freely available global map, and it is one of the most widely used examples of volunteered geographic information, a technique associated with so-called...
Persistent link: https://www.econbiz.de/10011986275
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Density and diversity of OpenStreetMap road networks in China
Zhang, Yingjia; Li, Xueming; Wang, Aiming; Bao, Tongliga; … - In: Journal of urban management 4 (2015) 2, pp. 135-146
OpenStreetMap is a geographic information platform designed to provide real-time updates and user-generated content related to its freely available global map, and it is one of the most widely used examples of volunteered geographic information, a technique associated with so-called...
Persistent link: https://www.econbiz.de/10011867415
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Feature selection for support vector machines using generalized benders decomposition
Aytung, Haldun - In: European journal of operational research : EJOR 244 (2015) 1, pp. 210-218
Persistent link: https://www.econbiz.de/10010531951
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Is there a trade-off between the predictive power and the interpretability of bankruptcy models? : the case of the first Hungarian bankruptcy prediction model
Virág, Miklós; Nyitrai, Tamás - In: Acta oeconomica : periodical of the Hungarian Academy … 64 (2014) 4, pp. 419-440
Persistent link: https://www.econbiz.de/10010472855
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Reducing overreliance on sovereign credit ratings : which model serves better?
Ozturk, Huseyin; Namli, Ersin; Erdal, Halil İbrahim - In: Computational economics 48 (2016) 1, pp. 59-81
Persistent link: https://www.econbiz.de/10011646590
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Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northe...
Vilán, J. Vilán; Fernández, J. Alonso; Nieto, P. García - In: Water Resources Management 27 (2013) 9, pp. 3457-3476
Cyanobacteria also known as blue-green algae can be found in almost every conceivable environment. Cyanobacteria blooms occur frequently and globally in water bodies and they are a major concern in terms of their effects on other species such as plants, fish and other microorganisms, but...
Persistent link: https://www.econbiz.de/10010997513