Description: Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications, Hardcover by Nasraoui, Olfa (EDT); N'cir, Chiheb-eddine Ben (EDT), ISBN 3319978632, ISBN-13 9783319978635, Like New Used, Free P&P in the UK
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. Th 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, 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 th include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
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Book Title: Clustering Methods for Big Data Analytics : Techniques, Toolboxes
Number of Pages: 187 Pages
Language: English
Publication Name: Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 471 g
Type: Textbook
Author: Olfa Nasraoui, Chiheb-Eddine Ben N'cir
Series: Unsupervised and Semi-Supervised Learning
Item Width: 155 mm
Format: Hardcover
