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The studies discussed here seek to extract finite state models corresponding to goal models with the help of model... Læs mere
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Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original... Læs mere
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Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind... Læs mere
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This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies... Læs mere
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This book presents the potential of digital responses to pandemics including COVID-19. It explores new digital concepts... Læs mere
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Dealing with artificial intelligence, this book delineates AI’s role in model... Læs mere
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This book is a timely and critical introduction for people who are interested in what data science is (and isn’t), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background.
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This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of... Læs mere
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This is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline... Læs mere
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Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.... Læs mere
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The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The target... Læs mere
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This edited volume analyses leadership in the public relations (PR) industry with a specific focus on women and their leadership styles and preferences.