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
Description
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.
Item Description:"A Chapman & Hall Book."
Physical Description:1 online resource (xii, 319 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781498723626
1498723624
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