Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications

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.

วันที่เผยแพร่ : May 04, 2020
สำนักพิมพ์ : Springer
จำนวนหน้า : 192
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MARC Information

245 a : Title 
Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications 
100 a : Author 
300 a : Total pages 
192 
260 b : Name of publisher 
Springer 

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