Aktivitäten pro Jahr
Abstract
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.
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.
Originalsprache | englisch |
---|---|
Erscheinungsort | Boca Raton, London, New York |
Verlag | CRC Press Taylor & Francis Group |
Seitenumfang | 320 |
ISBN (Print) | 9781498723619 |
Publikationsstatus | Veröffentlicht - 16 Sept. 2016 |
ASJC Scopus subject areas
- Artificial intelligence
Fields of Expertise
- Information, Communication & Computing
Treatment code (Nähere Zuordnung)
- Basic - Fundamental (Grundlagenforschung)
Fingerprint
Untersuchen Sie die Forschungsthemen von „Big Data of Complex Networks“. Zusammen bilden sie einen einzigartigen Fingerprint.Aktivitäten
- 1 Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)
-
Machine Learning for Biomedical Knowledge Discovery
Andreas Holzinger (Organisator/-in)
24 Juli 2015 → 26 Juli 2015Aktivität: Teilnahme an / Organisation von › Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)