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

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

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About the Book

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.

Table of Contents:
Introduction.- Clustering large scale data.- Clustering heterogeneous data.- Distributed clustering methods.- Clustering structured and unstructured data.- Clustering and unsupervised learning for deep learning.- Deep learning methods for clustering.- Clustering high speed cloud, grid, and streaming data.- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis.- Large documents and textual data clustering.- Applications of big data clustering methods.- Clustering multimedia and multi-structured data.- Large-scale recommendation systems and social media systems.- Clustering multimedia and multi-structured data.- Real life applications of big data clustering.- Validation measures for big data clustering methods.- Conclusion.


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Product Details
  • ISBN-13: 9783319978635
  • Publisher: Springer International Publishing AG
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Techniques, Toolboxes and Applications
  • ISBN-10: 3319978632
  • Publisher Date: 08 Nov 2018
  • Height: 235 mm
  • No of Pages: 187
  • Returnable: Y
  • Width: 155 mm


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