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Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data.
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This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.
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This book constitutes the refereed post-conference proceedings of the... Læs mere
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Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining... Læs mere
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This book features both cutting-edge contributions on managing knowledge in transformational contexts and a selection of real-world case studies.
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Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed... Læs mere
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This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters.
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The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research?
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This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS).