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03939nam a22005895i 4500 |
| 001 |
978-3-319-06245-7 |
| 003 |
DE-He213 |
| 005 |
20200702144746.0 |
| 007 |
cr nn 008mamaa |
| 008 |
140505s2014 gw | s |||| 0|eng d |
| 020 |
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|a 9783319062457
|9 978-3-319-06245-7
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|a 10.1007/978-3-319-06245-7
|2 doi
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| 100 |
1 |
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|a Chen, Min.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
0 |
|a Big Data
|h [electronic resource] :
|b Related Technologies, Challenges and Future Prospects /
|c by Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung.
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| 250 |
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|a 1st ed. 2014.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
|
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|a XII, 89 p. 8 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
|
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|a text file
|b PDF
|2 rda
|
| 490 |
1 |
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|a SpringerBriefs in Computer Science,
|x 2191-5768
|
| 505 |
0 |
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|a Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook.
|
| 520 |
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|a 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.
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| 650 |
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0 |
|a Computers.
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| 650 |
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0 |
|a Database management.
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| 650 |
|
0 |
|a Computer communication systems.
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| 650 |
|
0 |
|a Application software.
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| 650 |
|
0 |
|a Data mining.
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| 650 |
1 |
4 |
|a Information Systems and Communication Service.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18008
|
| 650 |
2 |
4 |
|a Database Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18024
|
| 650 |
2 |
4 |
|a Computer Communication Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I13022
|
| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18040
|
| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
|
| 700 |
1 |
|
|a Mao, Shiwen.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 700 |
1 |
|
|a Zhang, Yin.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 700 |
1 |
|
|a Leung, Victor C.M.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 710 |
2 |
|
|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319062464
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319062440
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| 830 |
|
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|a SpringerBriefs in Computer Science,
|x 2191-5768
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-06245-7
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|
| 912 |
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|a ZDB-2-SXCS
|
| 950 |
|
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|a Computer Science (SpringerNature-11645)
|
| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
