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Titlebook: Data Stream Mining & Processing; Third International Sergii Babichev,Dmytro Peleshko,Olena Vynokurova Conference proceedings 2020 Springer

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https://doi.org/10.1007/978-3-031-08443-0work for the ensemble multidimensional Gaussian based neuro-fuzzy model in order to achieve better accuracy. The computational experimental results show clear advantages of the proposed approach - better prediction accuracy, faster error decay with preserving of the generalization abilities and reasonable computational overhead.
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https://doi.org/10.1007/978-3-030-36636-0 work with a set of different-type applied problems of data processing. Hence, a simple, efficient and economical approximation of the initial training set provides the appropriate speed, level of complexity of the classification scheme, which ensures the simple and complete recognition (coverage) of sets of discrete objects.
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Assessing the Investment Risk of Virtual IT Company Based on Machine Learninger, Random Forest Classifier, Decision Tree Classifier, Gaussian Na-ive Bayes, K-Neighbors Classifier, Ada Boost Classifier, Logistic Regression. In addition, a module was developed to support decision-making based on three methods with the best forecast, namely: Support Vector Classifier, Random Forest Classifier, K-Neighbors Classifier.
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https://doi.org/10.1007/978-3-030-61656-4artificial intelligence; computer networks; computer vision; correlation analysis; image analysis; image
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978-3-030-61655-7Springer Nature Switzerland AG 2020
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