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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nasraoui, Olfa (Editor, http://id.loc.gov/vocabulary/relators/edt), Ben N'Cir, Chiheb-Eddine (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Unsupervised and Semi-Supervised Learning,
• Subjects: Electrical engineering.; Computational intelligence.; Data mining.; Big data.; Pattern recognition.; Communications Engineering, Networks.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Big Data/Analytics.; Pattern Recognition.

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 dete...