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This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT.
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This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g.
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This monograph addresses advances in representation learning, a cutting-edge research area of machine learning.
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The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020.
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These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses.
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This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions.
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This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices.
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This book contributes to an improved understanding of knowledge-intensive... Læs mere
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