Big data of complex networks /

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 inter...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Dehmer, Matthias, 1968- (Editor), Emmert-Streib, Frank (Editor), Pickl, Stefan, 1967- (Editor), Holzinger, Andreas (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor and Francis Group, [2017]
Series:Chapman & Hall/CRC big data series.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Network analyses of biomedical and genomic big data / Mayur Sarangdhar, Ranga Chandra Gudivada, Rasu B. Shrestha, Yunguan Wang, and Anil G. Jegga
  • Distributed or network-based big data? / Bo Hu and Klaus Arto
  • Big data text automation on small machines / Ming Jia, Yiqi Bai, Jingwen Wang, Wenjing Yang, Hao Zhang, and Jie Wang
  • Big data visualization for large complex networks / Lei Shi, Yifan Hu, and Qi Liao
  • Finding small dominating sets in large-scale networks / Liang Zhao
  • Techniques for management and querying of big data in large-scale communication networks / Yacine Djemaiel and Noureddine Boudriga
  • Large random matrices and big data analytics / Robert Caiming Qiu
  • Big data of complex networks and data protection law : an introduction to an area of mutual conflict / Florent Thouvenin
  • Structure, function, and development of large-scale complex neural networks / Joaquín J. Torres
  • ScaleGraph : a billion-scale graph analytics library / Toyotaro Suzumura
  • Challenges of computational network analysis with R / Shiwen Sun, Shuai Ding, Chengyi Xia, and Zengqiang Chen
  • Visualizing life in a graph stream / James Abello, David DeSimone, Steffen Hadlak, Hans-Jörg Schulz, and Mika Sumida.