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Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning) - Softcover
- PublisherSpringer
- Publication date2019
- ISBN 10 3030074196
- ISBN 13 9783030074197
- BindingPaperback
- LanguageEnglish
- Number of pages196
- EditorNasraoui Olfa, Ben N'Cir Chiheb-Eddine
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Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
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Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
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Clustering Methods for Big Data Analytics
Published by
Springer International Publishing Jan 2019, 2019
ISBN 10: 3030074196
ISBN 13: 9783030074197
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. Seller Inventory # 9783030074197
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Clustering Methods for Big Data Analytics
Published by
Springer International Publishing, 2019
ISBN 10: 3030074196
ISBN 13: 9783030074197
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes the most recent and innovative advances in Big Data ClusteringDescribes recent tools, techniques, and frameworks for Big Data AnalyticsIntroduces surveys, applications and case studies of Big Data clustering in Deep L. Seller Inventory # 448670653
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Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications
Published by
Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030074196
ISBN 13: 9783030074197
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030074197
Quantity: 1 available