The Resource Fog Computing, Deep Learning and Big Data Analytics-Research Directions, by C.S.R. Prabhu, (electronic resource)

Fog Computing, Deep Learning and Big Data Analytics-Research Directions, by C.S.R. Prabhu, (electronic resource)

Label
Fog Computing, Deep Learning and Big Data Analytics-Research Directions
Title
Fog Computing, Deep Learning and Big Data Analytics-Research Directions
Statement of responsibility
by C.S.R. Prabhu
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
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
http://library.link/vocab/creatorName
Prabhu, C.S.R
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
Diir9wP_vEw
Image bit depth
0
LC call number
QA76.9.B45
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
http://library.link/vocab/subjectName
  • Big data
  • Data structures (Computer scienc
  • Information systems
  • Big Data
  • Data Structures
  • Computer Appl. in Administrative Data Processing
Label
Fog Computing, Deep Learning and Big Data Analytics-Research Directions, by C.S.R. Prabhu, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Fog Application management -- Fog Analytics -- Fog Security and Privary -- Research Directions -- Conclusion
Dimensions
unknown
Extent
XIII, 71 p. 5 illus., 1 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811332098
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-3209-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-3209-8
Label
Fog Computing, Deep Learning and Big Data Analytics-Research Directions, by C.S.R. Prabhu, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Fog Application management -- Fog Analytics -- Fog Security and Privary -- Research Directions -- Conclusion
Dimensions
unknown
Extent
XIII, 71 p. 5 illus., 1 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811332098
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-3209-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-3209-8

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