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.
| ISBN: | 9783030074197 |
| Publication date: | 19th January 2019 |
| Author: | Olfa Nasraoui |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 187 pages |
| Series: | Unsupervised and Semi-Supervised Learning |
| Genres: |
Communications engineering / telecommunications Artificial intelligence Data mining Expert systems / knowledge-based systems Databases 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 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.
Clustering Methods for Big Data Analytics features in the following genres: Communications engineering / telecommunications, Artificial intelligence, Data mining, Expert systems / knowledge-based systems, Databases, Pattern recognition
Paperback. £116.99, down from the £129.99 cover price. Not Available.
Clustering Methods for Big Data Analytics was written by Olfa Nasraoui and published by Springer Nature Switzerland AG
Clustering Methods for Big Data Analytics has 187 pages
Yes it is part of Unsupervised and Semi-Supervised Learning series
£116.99, reduced from £129.99. Not Available.