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This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
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Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers the current... Læs mere
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In this unique take on a classic mathematical logic course, students are guided in implementing the underlying logical concepts and mathematical proofs in the Python... Læs mere
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This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and... Læs mere
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Understand the safe engineering of ship-shaped offshore installations at every stage of design,... Læs mere
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This book aims to familiarize educators and young researchers with the breadth of mathematics in cyber-related research. Each chapter introduces a mathematical sub-field,... Læs mere
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This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of... Læs mere
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This volume helps to meet the challenge processing of medical images by presenting a thorough overview of medical imaging modalities, its processing,... Læs mere
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This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion in numerical methods... Læs mere
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This book is designed for students who have never been exposed to the topics in a linear algebra course. The text is ?lled with... Læs mere
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Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government.... Læs mere
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This book is based upon the efforts of the Ontogenetics Process Group that began meeting in 2017 to explore new and innovative ways of thinking the problem of complexity in... Læs mere