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Titlebook: Mobile Big Data; A Roadmap from Model Georgios Skourletopoulos,George Mastorakis,Evangel Book 2018 Springer International Publishing AG 201

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發(fā)表于 2025-3-21 17:57:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mobile Big Data
副標(biāo)題A Roadmap from Model
編輯Georgios Skourletopoulos,George Mastorakis,Evangel
視頻videohttp://file.papertrans.cn/636/635310/635310.mp4
概述Provides a state-of-the-art reference guide, discussing the progress made, as well as outlining future directions for the theories, practices, standards, and strategies related to the mobile big data
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Mobile Big Data; A Roadmap from Model Georgios Skourletopoulos,George Mastorakis,Evangel Book 2018 Springer International Publishing AG 201
描述.This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. ..Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data..
出版日期Book 2018
關(guān)鍵詞Big Data Engineering; Mobile Cloud Computing; Mobile Big Data Collecting Techniques; Engineering the St
版次1
doihttps://doi.org/10.1007/978-3-319-67925-9
isbn_softcover978-3-319-67924-2
isbn_ebook978-3-319-67925-9Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightSpringer International Publishing AG 2018
The information of publication is updating

書目名稱Mobile Big Data影響因子(影響力)




書目名稱Mobile Big Data影響因子(影響力)學(xué)科排名




書目名稱Mobile Big Data網(wǎng)絡(luò)公開度




書目名稱Mobile Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mobile Big Data被引頻次




書目名稱Mobile Big Data被引頻次學(xué)科排名




書目名稱Mobile Big Data年度引用




書目名稱Mobile Big Data年度引用學(xué)科排名




書目名稱Mobile Big Data讀者反饋




書目名稱Mobile Big Data讀者反饋學(xué)科排名




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2367-4512 ls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data..978-3-319-67924-2978-3-319-67925-9Series ISSN 2367-4512 Series E-ISSN 2367-4520
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Book 2018mmunications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. ..Further, it provides an overview of new methodol
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2367-4512 s, standards, and strategies related to the mobile big data .This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is be
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Mobile Big Data978-3-319-67925-9Series ISSN 2367-4512 Series E-ISSN 2367-4520
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Fritz Umland,Birgit Hackmann,Egon Schumacherthe pages of the periodical press. The contributions of Delany and other African American writers to American legal thought often have been overlooked because many were not practicing attorneys. Instead, a great deal of critical attention has focused on African Americans as subject to American law r
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