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Big Data and Computational Intelligence in Networking

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ADMM Algorithm
Anomaly Detection
Average Path Length
Big Data
Big Geospatial Data
Category=GPH
Category=UNC
Category=UT
Cloud Computing
Cloud Vendor
computational intelligence for network management
Computing Nodes
Coordinate Descent
Coordinate Descent Methods
Coordinate Gradient Descent
Data Sets
Departure Time Interval
distributed analytics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
geospatial semantic web
Greedy Routing
Hyperbolic Space
IoT Device
mapreduce optimization
MeSH Term
Network Anomaly Detection
Network Big Data
NMF
predictive modeling
Scale Free Network
Shortest Path
smart manufacturing systems
Spatial Indices
SVDD
VGI Data Set
wireless sensor networks

Product details

  • ISBN 9781498784863
  • Weight: 900g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Dec 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
About
Dr. Yulei Wu is a Lecturer in Computer Science at the University of Exeter. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (First Class Hons) degree in Computer Science from the University of Bradford, UK, in 2010 and 2006, respectively. His main research focuses on Big Data, Future Internet Architecture, Wireless Networks and Mobile Computing, Cloud Computing, and Performance Modelling and Analysis. Before joining the University of Exeter, he was working as an Associate Professor in the Chinese Academy of Sciences (CAS). During his stay in CAS, he mainly worked in the field of Internet Architecture and Big Data. He was the Principal Investigator of a National Natural Science Foundation of China (NFSC) project on Content Delivery Networks, and was the Co-Investigator of a National High-tech R&D ("863") project on Virtual Router, a National Key Technologies R&D project on IPv6, and a CAS Strategic Priority Research project on Future Internet Research Testbed. Dr. Fei Hu is currently a professor in the Department of Electrical and Computer Engineering at the University of Alabama (main campus), Tuscaloosa, Alabama, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in the field of Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers, books, and book chapters. Dr. Hu's research has been supported by U.S. National Science Foundation (NSF), U.S. Department of Defense (DoD), Cisco, Sprint, and other sources. He has chaired a few international conferences. His research interests are 3S - Security, Signals, Sensors: (1) Security: This is about how to overcome different cyber attacks in a complex wireless or wired network. Recently he focuses on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., achieve pattern recognition). (3) Sensors: This includes micro-sensor design and wireless sensor networking issues.