標題: 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 [打印本頁] 作者: 本義 時間: 2025-3-21 19:55
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)學科排名
書目名稱Big Data網絡公開度
書目名稱Big Data網絡公開度學科排名
書目名稱Big Data被引頻次
書目名稱Big Data被引頻次學科排名
書目名稱Big Data年度引用
書目名稱Big Data年度引用學科排名
書目名稱Big Data讀者反饋
書目名稱Big Data讀者反饋學科排名
作者: 集聚成團 時間: 2025-3-21 21:44 作者: 細節(jié) 時間: 2025-3-22 02:11
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.作者: annexation 時間: 2025-3-22 07:08
Big Data978-3-319-06245-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: 精致 時間: 2025-3-22 11:50
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.作者: Muscularis 時間: 2025-3-22 15:44 作者: Fraudulent 時間: 2025-3-22 20:07 作者: depreciate 時間: 2025-3-23 00:15
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作者: Flinch 時間: 2025-3-23 04:08
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.作者: obtuse 時間: 2025-3-23 06:54 作者: jeopardize 時間: 2025-3-23 13:25 作者: Fester 時間: 2025-3-23 16:51
Supraaortische Rekonstruktionen,for traditional data and big data, analytical architecture for big data, and software used for mining and analysis of big data. Data analysis is the final and the most important phase in the value chain of big data, with the purpose of extracting useful values, providing suggestions or decisions. Di作者: 倫理學 時間: 2025-3-23 20:36 作者: 他日關稅重重 時間: 2025-3-23 22:44 作者: 侵蝕 時間: 2025-3-24 05:49
https://doi.org/10.1007/978-3-319-06245-7Big data; Big data analysis; Big data applications; Big data storage; Cloud computing; Data center; Intern作者: Tinea-Capitis 時間: 2025-3-24 10:03
Min Chen,Shiwen Mao,Victor C.M. LeungIncludes supplementary material: 作者: CAGE 時間: 2025-3-24 11:23
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/b/image/185574.jpg作者: 變化 時間: 2025-3-24 17:27 作者: 暗語 時間: 2025-3-24 21:19 作者: faction 時間: 2025-3-25 01:10
Big Data Generation and Acquisition, chain of big data, which can be generally divided into four phases: data generation, data acquisition, data storage, and data analysis. If we take data as a raw material, data generation and data acquisition are exploitation process, data storage is a storage process, and data analysis is a product作者: 暴露他抗議 時間: 2025-3-25 05:42
Big Data Storage,and big data storage mechanisms. On one hand, the storage infrastructure need to provide information storage service with reliable storage space; on the other hand, it must provide a powerful access interface for query and analysis of large amount of data. Such a storage infrastructure generally con作者: 小卒 時間: 2025-3-25 08:14 作者: 清楚 時間: 2025-3-25 15:22
Big Data Applications,can provide useful values via judgments, recommendations, supports, or decisions. However, data analysis involves a wide range of applications, which frequently change and are extremely complex. In this chapter, the evolution of data sources is reviewed. Then, six of the most important data analysis作者: doxazosin 時間: 2025-3-25 18:08 作者: MOAT 時間: 2025-3-25 20:29
Intra- und postoperative Komplikationen fields are examined, including structured data analysis, text analysis, website analysis, multimedia analysis, network analysis, and mobile analysis. This chapter is concluded with a discussion of several key application fields of big data.作者: 聲明 時間: 2025-3-26 01:59 作者: BLANC 時間: 2025-3-26 06:21
Big Data Applications, fields are examined, including structured data analysis, text analysis, website analysis, multimedia analysis, network analysis, and mobile analysis. This chapter is concluded with a discussion of several key application fields of big data.作者: 舊石器 時間: 2025-3-26 12:29
2191-5768 . 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 comput作者: 不足的東西 時間: 2025-3-26 16:23 作者: 異常 時間: 2025-3-26 18:04
Intra- und postoperative Komplikationenhe other hand, it must provide a powerful access interface for query and analysis of large amount of data. Such a storage infrastructure generally consists of hardware infrastructure and storage mechanisms.作者: 暖昧關系 時間: 2025-3-26 21:07 作者: PAGAN 時間: 2025-3-27 01:38 作者: 免費 時間: 2025-3-27 09:16
Big Data Storage,he other hand, it must provide a powerful access interface for query and analysis of large amount of data. Such a storage infrastructure generally consists of hardware infrastructure and storage mechanisms.作者: HATCH 時間: 2025-3-27 10:41 作者: moratorium 時間: 2025-3-27 14:58 作者: 放肆的我 時間: 2025-3-27 18:02 作者: 斗志 時間: 2025-3-27 23:30
9樓作者: 痛苦一生 時間: 2025-3-28 05:17
10樓作者: deficiency 時間: 2025-3-28 06:57
10樓作者: adipose-tissue 時間: 2025-3-28 13:45
10樓作者: Prognosis 時間: 2025-3-28 18:25
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