Clustering Methods for Big Data Analytics

Techniques, Toolboxes and Applications

187 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Unsupervised and Semi-Supervised Learning
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Nachrichtententechnik, Telekommunikation
• ISBN: 9783319978635
• Sprache: Englisch
• Erscheinungsdatum: 08.11.2018
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Olfa Nasraoui, Chiheb-Eddine Ben N'Cir