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This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
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This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing... Læs mere
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The contributors in this book share, exchange, and develop new concepts, ideas, principles, and... Læs mere
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This book introduces text analytics as a valuable method for deriving insights from text data. The final part of Practical Text Analytics... Læs mere
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It also provides a comprehensive introduction to the research results gleaned by engineers, researchers and scientists throughout the lifecycle of the Tiangong-2 Earth observation data, which will improve the payload development and enhance remote sensing data applications.
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Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and... Læs mere
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This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into... Læs mere
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This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
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This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.