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题名/责任者:

Big data of complex networks / edited by Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, Andreas Holzinger.

出版发行项:

Boca Raton, FL : Chapman & Hall/CRC, 2020.

ISBN:

9780367658434

载体形态项:

xii, 319 pages : illustrations (black and white) ; 26 cm.

丛编说明:

Chapman & Hall/CRC big data series

附加个人名称:

Dehmer, Matthias, 1968- editor.

附加个人名称:

Emmert-Streib, Frank, editor.

附加个人名称:

Pickl, Stefan, 1967- editor.

附加个人名称:

Holzinger, Andreas, editor.

论题主题:

Big data.

论题主题:

Large scale systems.

论题主题:

Computer networks.

论题主题:

Computational complexity.

中图法分类号:

TP274

一般附注:

Originally published: 2017.

书目附注:

Includes bibliographical references and index.

摘要附注:

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.

豆瓣简介：