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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nasraoui, Olfa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ben N'Cir, Chiheb-Eddine (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Unsupervised and Semi-Supervised Learning,
• Θέματα: 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...