Big Data of Complex Networks (Chapman & Hall/CRC Big Data Series)
ISBN-10 书号: 1498723616
ISBN-13 书号: 9781498723619
Edition 版本: 1
Publisher Finelybook 出版日期: 2016-08-18
Pages: 332 pages
Book Description
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.
Key Features:
Provides a complete discussion of both the hardware and software used to organize big data
Describes a wide range of useful applications for managing big data and resultant data sets
Maintains a firm focus on massive data and large networks
Unveils innovative techniques to help readers handle big dataContents
Preface
Editors
Contributors
1Network Analyses of Biomedical and Genomic Big Data
2 Distributed or Wetwork-Based Big Data?
3 Big Data Text Automation on Small Machines
4Big Data Visualization for Large Complex Networks
5Finding Small Dominating Sets in Large-Scale Networks
6Techniques for the Management and Querying of Big Data in Large-Scale Communication Networks
7Large Random Matrices and Big Data Analytics
8 Big Data of Complex Networks and Data Protection Law: An Introduction to an Area of Mutual Conflict
9 Structure,Function,and Development of Large-Scale Complex Neural Networks
10 ScaleGraph: A Billion-Scale Graph Analytics Library
11 Challenges of Computational Network Analysis with R
12 Visualizing Life in a Graph Stream
Index