Clustering Methods for Big Data Analytics [electronic resource] Techniques, Toolboxes and Applications / edited by Olfa Nasraoui, Chiheb-Eddine Ben N'Cir.
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...
| Uniform Title: | Unsupervised and Semi-Supervised Learning,
2522-8498 |
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| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Unsupervised and Semi-Supervised Learning,
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| Subjects: | |
| Online Access: | |
| Variant Title: |
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications |
| Format: | Electronic eBook |
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