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Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random... Læs mere
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Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
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Covers the field of computing, from its technological status through its social, economic and political significance. This book contains more than 30... Læs mere
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This book treats, in five sections, the existing and future surveys, their digitization and their impact on astronomy. It is designed to serve as a reference for people in the field and for those who wish to engage in using or producing sky surveys.
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Storing, managing and giving access to data collected by astronomical observatories is a challenge of modern astronomy. This book presents a selection of... Læs mere
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Discussing some key scientific and technological developments in high performance computing, identifying significant trends, and defining desirable research objectives, this text covers general concepts and emerging systems, software technology, algorithms and applications.
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Based on the Datawar research program developed by three French academic institutions, this book seeks to explore the following research... Læs mere
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In "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights.
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This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms.
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Um IS-Architekturen hinsichtlich vielfältiger unternehmensinterner und –externer Herausforderungen zu konstruieren und deren Leistungsfähigkeit nachhaltig zu sichern, sind geeignete Konzepte und Methoden zu entwickeln und zielorientiert einzusetzen.