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Titlebook: Big Data; Related Technologies Min Chen,Shiwen Mao,Victor C.M. Leung Book 2014 The Author(s) 2014 Big data.Big data analysis.Big data appli

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發(fā)表于 2025-3-21 19:55:03 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data
期刊簡稱Related Technologies
影響因子2023Min Chen,Shiwen Mao,Victor C.M. Leung
視頻videohttp://file.papertrans.cn/186/185574/185574.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類SpringerBriefs in Computer Science
圖書封面Titlebook: Big Data; Related Technologies Min Chen,Shiwen Mao,Victor C.M. Leung Book 2014 The Author(s) 2014 Big data.Big data analysis.Big data appli
影響因子This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
Pindex Book 2014
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書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學(xué)科排名




書目名稱Big Data網(wǎng)絡(luò)公開度




書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學(xué)科排名




書目名稱Big Data年度引用




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沙發(fā)
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Open Issues and Outlook,troduced in this book. In this chapter, we summarize the research hot spots and suggest possible research directions of big data. We also discuss potential development trends in this broad research and application area.
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發(fā)表于 2025-3-22 07:08:25 | 只看該作者
Big Data978-3-319-06245-7Series ISSN 2191-5768 Series E-ISSN 2191-5776
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發(fā)表于 2025-3-22 11:50:23 | 只看該作者
Follow-Up and Relook Hysteroscopy,oduce the definition of big data, and review its evolution in the past 20 years. In particular, we introduce the defining features of big data, as well as its 4Vs characteristics, including Volume, Variety, Velocity, and Value. The challenges brought about by big data is also examined in this chapter.
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發(fā)表于 2025-3-23 00:15:51 | 只看該作者
Follow-Up and Relook Hysteroscopy,oduce the definition of big data, and review its evolution in the past 20 years. In particular, we introduce the defining features of big data, as well as its 4Vs characteristics, including Volume, Variety, Velocity, and Value. The challenges brought about by big data is also examined in this chapte
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發(fā)表于 2025-3-23 04:08:31 | 只看該作者
Intra- und interorganisationale Delegationincluding cloud computing, Internet of Things (IoT), data center, and Hadoop. For each related technology, a general introduction is first provided highlighting their key features. Then the relationship between the technology and big data is examined in detail.
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發(fā)表于 2025-3-23 06:54:48 | 只看該作者
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