Advanced deep learning applications in big data analytics / Hadj Ahmed Bouarara, editor.

Format:

Book

Author/Creator:

Bouarara, Hadj Ahmed, 1990- author.

Contributor:

Bouarara, Hadj Ahmed, 1990- editor.

Series:

Advances in data mining and database management (ADMDM) book series.

Advances in Data Mining and Database Management (ADMDM) Book Series

Language:

English

Subjects (All):

Big data.

Artificial intelligence.

Machine learning.

Physical Description:

22 PDFs (351 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"This book explores the developing and application of deep learning in big data"-- Provided by publisher.

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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781799827931

OCLC:

1128065256