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Optimising commercial port operations through high-level information fusion

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A general view of big data and machine learning

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Multiple dispatching rules allocation in real time using data mining, genetic algorithms, and simulation

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Discover Interesting Patterns for Investment Decision Making with GLOWER- A Genetic Learner Overlaid With Entropy Reduction

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Prediction in financial domains is notoriously difficult for a number ofreasons. First, theories tend to be weak or non-existent, which makesproblem formulation open ended by forcing us to consider a large numberof independent variables and thereby increasing the dimensionality ofthe search...

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Long run growth of financial data technology

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A longitudinal comparison of the growth factors of Slovenian fast growing enterprises

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МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ПРАКТИЧЕСКОГО РЕГРЕССИОННОГО ОЦЕНИВАНИЯ: УЛУЧШЕНИЕ ОЦЕНОЧНЫХ СВОЙСТВ МОДЕЛЕЙ ПУТЕМ КОДИРОВАНИЯ ЗНАЧЕНИЙ КОЛИЧЕСТВЕННЫХ ПРИЗНАКОВ

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Предложены эвристические процедуры решения двух важных проблем, возникающих при практическом регрессионном оценивании. Одна из них связана с выбором...

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Predicting political ideology from digital footprints

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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach

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