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

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nasraoui, Olfa (Editor), Ben N'Cir, Chiheb-Eddine (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Unsupervised and Semi-Supervised Learning,
Subjects:
Telecommunication.
Computational intelligence.
Data mining.
Quantitative research.
Pattern recognition systems.
Communications Engineering, Networks.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Automated Pattern Recognition.
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