Clustering Methods for Big Data Analytics: Techniques,Toolboxes and Applications

Clustering Methods for Big Data Analytics: Techniques,Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
ISBN-10 书号: 3319978632
ISBN-13 书号: 9783319978635
Edition 版本: 1st ed. 2019
Publisher Finelybook 出版日期: 2018-10-28
Pages: 187 pages
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.