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Big data of complex networks

Contributor(s): Dehmer, Matthias [Editor] | Pickl, Stefan [Editor] | Emmert-Streib, Frank [Editor] | Holzinger, Andreas [Editor].
Series: Chapman and Hall/CRC Big Data Series. Publisher: Boca Raton CRC Press 2017Description: xii, 319 p.ISBN: 9781498723619.Subject(s): Big data | Large scale systems | System analysisDDC classification: 005.74015 Summary: Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: a. Provides a complete discussion of both the hardware and software used to organize big data b. Describes a wide range of useful applications for managing big data and resultant data sets c. Maintains a firm focus on massive data and large networks d. Unveils innovative techniques to help readers handle big data https://www.crcpress.com/Big-Data-of-Complex-Networks/Dehmer-Emmert-Streib-Pickl-Holzinger/p/book/9781498723619
List(s) this item appears in: Big data | Laha | VR_Data Analytics, Data Visualization and Big Data | Big Data_Book Display
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Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks.

Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.

Key features:

a. Provides a complete discussion of both the hardware and software used to organize big data

b. Describes a wide range of useful applications for managing big data and resultant data sets

c. Maintains a firm focus on massive data and large networks

d. Unveils innovative techniques to help readers handle big data

https://www.crcpress.com/Big-Data-of-Complex-Networks/Dehmer-Emmert-Streib-Pickl-Holzinger/p/book/9781498723619

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