Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2022 The Editor(s) (if applicable) and The Author(s), under e

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,An Ensemble-Based Machine Learning for Predicting Fraud of Credit Card Transactions, critical impact of the increment of using credit cards is the occurrence of fraudulent transactions, which allow the illegal user to get money and free goods via unauthorized usage. Artificial Intelligence (AI) and Machine Learning (ML) have become effective techniques used in different application

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,Unsupervised Machine Learning Methods for City Vitality Index,is even more complicated to do it retroactively in the last decades. Although, it is essential to evaluate and learn features of the past to predict a VI in the future. This paper proposes a method to evaluate such a VI, based on a .-mean clustering algorithm. The meta parameters of this unsupervise

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Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscom Mitchell. In essence, the relevant equations from the classical electrodynamics are presented. Once the power is derived, then the systematic errors that might be intrinsic are implemented. Thus, these errors drives the evolution of system inside the frustum in both: experience and learning. In t

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der EU sind die Länder des östlichen Mitteleuropa stärker in das Bewusstsein gerückt. Das politische, wirtschaftliche, kulturelle und schließlich auch wissenschaftliche Interesse an der Region ist merklich gestiegen. Das vorliegende Buch befasst sich mit den beiden Nachfolgestaaten der Tschechoslowa

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