Big Data and Information Theory ISBN 13: 9781032266329

Big Data and Information Theory - Softcover

9781032266329: Big Data and Information Theory
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Jiuping Xu (editor), S. E. Ahmed (editor), Zongmin Li (editor)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Jiuping Xu
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ISBN 10: 1032266325 ISBN 13: 9781032266329
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Xu, Jiuping (Editor)/ Ahmed, Syed Ejaz (Editor)/ Li, Zongmin (Editor)
Published by Routledge (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Jiuping Xu
Published by Taylor & Francis Ltd, London (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Book Description Paperback. Condition: new. Paperback. Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management. This book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032266329

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Published by Routledge (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Xu, Jiuping (Editor)/ Ahmed, Syed Ejaz (Editor)/ Li, Zongmin (Editor)
Published by Routledge (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Revaluation Books
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Book Description Paperback. Condition: Brand New. 128 pages. 11.69x8.25x0.47 inches. In Stock. Seller Inventory # x-1032266325

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Published by Taylor & Francis (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jiuping Xu is Associate Vice President, Dean of Business School, and Director of Institute of Emergency Management and Reconstruction in Post-disaster of Sichuan University, Chengdu, China. He has published more than 700 peer-reviewed jo. Seller Inventory # 1241779538

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Jiuping Xu
Published by Taylor & Francis Ltd, London (2024)
ISBN 10: 1032266325 ISBN 13: 9781032266329
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Book Description Paperback. Condition: new. Paperback. Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management. This book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781032266329

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