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machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision … exhaustively reviewed and researched in all aspects qualitatively and quantitatively, wherein the LSTM network and SVM algorithm …
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We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...
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countries of the world based on several economic and social indicators. The most appropriate clustering algorithm has been … Emirates, Finland, and Pakistan. Finally, we use four popular machine learning classification algorithms to validate our … cluster-based algorithm and obtained very consistent results with high accuracy. …
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extraction and classification of malware facts is indispensable to handle such issues. In this paper, we visualize viruses in an … Machine (SVM) classification methods for identification of malware facts into their respective classes. We use k … Microsoft for the Microsoft Malware Classification Challenge (BIG 2015) …
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