Clustering Methods for Big Data Analytics

Techniques, Toolboxes and Applications

Olfa Nasraoui editor Chiheb-Eddine Ben N'Cir editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:19th Jan '19

Currently unavailable, and unfortunately no date known when it will be back

Clustering Methods for Big Data Analytics cover

This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.


ISBN: 9783030074197

Dimensions: unknown

Weight: unknown

187 pages

Softcover reprint of the original 1st ed. 2019