Big Data of Complex Networks

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

Product details

• Authors: Matthias (Umit Dehmer
• Assisted by: Matthias Dehmer (Editor), Dehmer Matthias (Editor), Frank Emmert-Streib (Editor), Emmert-Streib Frank (Editor), Andreas Holzinger (Editor), Holzinger Andreas (Editor), Stefan Pickl (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.09.2020
• EAN: 9780367658434
• ISBN: 978-0-367-65843-4
• No. of pages: 320
• Series: Chapman & Hall/CRC Big Data Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; Data Mining, TECHNOLOGY & ENGINEERING / Automation, COMPUTERS / Operating Systems / General, MATHEMATICS / Combinatorics, Operating systems, Combinatorics & graph theory, Automatic control engineering, Databases, COMPUTERS / Data Science / Data Analytics, Combinatorics and graph theory, COMPUTERS / Database Administration & Management, Databases / Data management