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Clustering Methods for Big Data Analytics

Name: Clustering Methods for Big Data Analytics
Brand: Springer International Publishing AG
SKU: 19762441
Price: 59474 HUF
Availability: InStock
Author: Olfa Nasraoui
ISBN: 9783319978635

Techniques, Toolboxes and Applications

Olfa Nasraoui

Chiheb-Eddine Ben N'Cir

Language

English

Book Hardback

Libristo code: 19762441

Publishers Springer International Publishing AG, November 2018

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

Libristo code: 19762441

406 b

59 474 Ft

In stock at our supplier Shipping in 10-13 days

30-day return policy

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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.