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Clustering Methods for Big Data Analytics

Name: Clustering Methods for Big Data Analytics
Brand: Springer International Publishing AG
SKU: 9783319978635
Price: 3426 CZK
Availability: InStock

Techniques, Toolboxes and Applications

Autor: Olfa Nasraoui, Chiheb-Eddine Ben N'Cir

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 426 Kč

This book highlights the state of the art and recent advances in Big Data clustering methods and the...

Informace o knize

Autor

Olfa Nasraoui, Chiheb-Eddine Ben N'Cir

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2018

Stránek

187

EAN

9783319978635

ISBN

3319978632

Enbook ID

19762441

Vydavatel

Springer International Publishing AG

Hmotnost

471

Rozměry

155 x 235 x 15

Kompletní popis

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.