Advanced deep learning applications in big data analytics

"This book explores the developing and application of deep learning in big data"--

Bibliographic Details
Other Authors: Bouarara, Hadj Ahmed, 1990-
Format: eBook
Language:English
Published: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2021]
Series:Advances in data mining and database management (ADMDM) book series.
Subjects:
Online Access:EBSCOhost
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Table of Contents:
  • Chapter 1. Advanced deep learning applications in big data analytics: introduction of Internet of things
  • Chapter 2. Big data and cloud computing: a technological and literary background
  • Chapter 3. Challenges and applications of data analytics in social perspectives: introduction of data science
  • Chapter 4. Deep learning for social media text analytics
  • Chapter 5. Deeplearning for computer vision problems: litterature review
  • Chapter 6. Introduction of big data with analytics of big data
  • Chapter 7. Machine learning in sentiment analysis over twitter: synthesis and comparative study
  • Chapter 8. Machine learning techniques in spam detection
  • Chapter 9. On swarm intelligence and its integration with Internet of things: challenges and applications
  • Chapter 10. Physical characteristics of type 1 and 2 diabetic subjects: NCR, Indian-based computational perspective
  • Chapter 11. Research information: bio-inspiration in information retrieval
  • Chapter 12. Study on South Asian diabetic subjects on different attributes: a statistical approach.