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portada Clustering Methods for big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
Type
Physical Book
Publisher
Year
2019
Language
English
Pages
200
Format
Paperback
ISBN13
9783030074197

Clustering Methods for big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)

New Book

£ 177.23

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Monday, June 03 and Wednesday, June 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Clustering Methods for big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)"

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.

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The book is written in English.
The binding of this edition is Paperback.

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