Clustering Methods for Big Data Analytics is popular PDF and ePub book, written by Olfa Nasraoui in 2018-10-27, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Clustering Methods for Big Data Analytics can be Read Online from any device for your convenience.
Clustering Methods for Big Data Analytics Book PDF Summary
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.
Detail Book of Clustering Methods for Big Data Analytics PDF
- Author : Olfa Nasraoui
- Release : 27 October 2018
- Publisher : Springer
- ISBN : 9783319978642
- Genre : Technology & Engineering
- Total Page : 187 pages
- Language : English
- PDF File Size : 14,7 Mb
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