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Titlebook: Modeling and Processing for Next-Generation Big-Data Technologies; With Applications an Fatos Xhafa,Leonard Barolli,Petraq Papajorgji Book

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書(shū)目名稱(chēng)Modeling and Processing for Next-Generation Big-Data Technologies
副標(biāo)題With Applications an
編輯Fatos Xhafa,Leonard Barolli,Petraq Papajorgji
視頻videohttp://file.papertrans.cn/637/636153/636153.mp4
概述Describes the state-of-the-art modeling and storage methods for large data sets and discusses current challenges for the development of next generation data technologies.Includes benchmarking, applica
叢書(shū)名稱(chēng)Modeling and Optimization in Science and Technologies
圖書(shū)封面Titlebook: Modeling and Processing for Next-Generation Big-Data Technologies; With Applications an Fatos Xhafa,Leonard Barolli,Petraq Papajorgji Book
描述.This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field. .
出版日期Book 2015
關(guān)鍵詞Big Data Security; Big Data Visualization, Modeling and Processing; Cloud Computing; Data Life Circle M
版次1
doihttps://doi.org/10.1007/978-3-319-09177-8
isbn_softcover978-3-319-38500-6
isbn_ebook978-3-319-09177-8Series ISSN 2196-7326 Series E-ISSN 2196-7334
issn_series 2196-7326
copyrightSpringer International Publishing Switzerland 2015
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2196-7326 identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field. .978-3-319-38500-6978-3-319-09177-8Series ISSN 2196-7326 Series E-ISSN 2196-7334
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2196-7326 generation data technologies.Includes benchmarking, applica.This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algor
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Book 2015 challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field. .
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