Téléchargez le livre : Clustering Methods for Big Data Analytics

Clustering Methods for Big Data Analytics

Techniques, Toolboxes and Applications de

,

Éditeur :

Springer


Collection :

Unsupervised and Semi-Supervised Learning

Paru le : 2018-10-27

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Description


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.
Pages
187 pages
Collection
Unsupervised and Semi-Supervised Learning
Parution
2018-10-27
Marque
Springer
EAN papier
9783319978635
EAN PDF
9783319978642
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6533 Ko
Prix
147,69 €
EAN EPUB
9783319978642
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
14213 Ko
Prix
147,69 €

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