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Fog Computing, Deep Learning and Big Data Analytics-Research Directions (Hardcover, 1st ed. 2019)
Loot Price: R4,128
Discovery Miles 41 280
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Fog Computing, Deep Learning and Big Data Analytics-Research Directions (Hardcover, 1st ed. 2019)
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This book provides a comprehensive picture of fog computing
technology, including of fog architectures, latency aware
application management issues with real time requirements, security
and privacy issues and fog analytics, in wide ranging application
scenarios such as M2M device communication, smart homes, smart
vehicles, augmented reality and transportation management. This
book explores the research issues involved in the application of
traditional shallow machine learning and deep learning techniques
to big data analytics. It surveys global research advances in
extending the conventional unsupervised or clustering algorithms,
extending supervised and semi-supervised algorithms and association
rule mining algorithms to big data Scenarios. Further it discusses
the deep learning applications of big data analytics to fields of
computer vision and speech processing, and describes applications
such as semantic indexing and data tagging. Lastly it identifies 25
unsolved research problems and research directions in fog
computing, as well as in the context of applying deep learning
techniques to big data analytics, such as dimensionality reduction
in high-dimensional data and improved formulation of data
abstractions along with possible directions for their solutions.
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