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Organized into four major parts, this book begins by presenting a historical overview of the issues involved in integrating GIS and AEC... Læs mere
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Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to... Læs mere
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This book provides a broad picture on the concepts, techniques, applications, and open research directions in Data Analytics. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
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This book is designed both as a text for graduate level courses in human resource systems, human capital analytics, and data mining as well as a resource... Læs mere
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This book contains a major update to the previous edition. It covers how to implement and manage the Database Management System (DBMS) itself, how to write scripts... Læs mere
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Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Featuring... Læs mere
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Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields... Læs mere
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This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data... Læs mere
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Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management.
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The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.
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If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and... Læs mere