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Books > Computing & IT > Applications of computing > Artificial intelligence
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Clustering Methods for Big Data Analytics - Techniques, Toolboxes and Applications (Paperback, Softcover reprint of the original 1st ed. 2019)
Loot Price: R4,011
Discovery Miles 40 110
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Clustering Methods for Big Data Analytics - Techniques, Toolboxes and Applications (Paperback, Softcover reprint of the original 1st ed. 2019)
Series: Unsupervised and Semi-Supervised Learning
Expected to ship within 18 - 22 working days
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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.
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