Overview
- Provides a comprehensive overview of fog computing technology
- Explores research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics
- Identifies several unsolved research problems and research directions in fog computing
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Table of contents (6 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the author
Mr. Prabhu was unanimously elected and served as the Chairman of Computer Society of India (CSI), Hyderabad Chapter. He is presently working as an Advisor at KL University, Vijayawada, Andhra Pradesh and as a Director, Research and Innovation at Keshav Memorial Institute of Technology (KMIT), Hyderabad.
He obtained his master’s degree in Electrical Engineering with specialization in Computer Science from the Indian Institute of Technology, Bombay after a bachelor’s degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad in 1976. He has guided a large number of student research projects at master’s level and has published several papers.
Bibliographic Information
Book Title: Fog Computing, Deep Learning and Big Data Analytics-Research Directions
Authors: C.S.R. Prabhu
DOI: https://doi.org/10.1007/978-981-13-3209-8
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-3208-1Published: 16 January 2019
eBook ISBN: 978-981-13-3209-8Published: 04 January 2019
Edition Number: 1
Number of Pages: XIII, 71
Number of Illustrations: 4 b/w illustrations, 1 illustrations in colour
Topics: Big Data, Data Structures, Computer Appl. in Administrative Data Processing