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Advanced deep learning applications ...

Bouarara, Hadj Ahmed, (1990-)

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Advanced deep learning applications in big data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced deep learning applications in big data analytics/ Hadj Ahmed Bouarara, editor.
其他作者:	Bouarara, Hadj Ahmed,
出版者:	Hershey, Pennsylvania :IGI Global, : 2020,
面頁冊數:	1 online resource (xx, 351 p.)
內容註:	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.
標題:	Big data. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2791-7
ISBN:	9781799827931 (ebk.)

Advanced deep learning applications in big data analytics
Advanced deep learning applications in big data analytics[electronic resource] /Hadj Ahmed Bouarara, editor. - Hershey, Pennsylvania :IGI Global,2020 - 1 online resource (xx, 351 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

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

ISBN: 9781799827931 (ebk.)Subjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / A38 2020e

Dewey Class. No.: 005.7

Advanced deep learning applications in big data analytics
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245 0 0 $a Advanced deep learning applications in big data analytics $h [electronic resource] / $c Hadj Ahmed Bouarara, editor.
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300 $a 1 online resource (xx, 351 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the developing and application of deep learning in big data"-- $c Provided by publisher.
650 0 $a Big data. $3 2045508
650 0 $a Artificial intelligence. $3 516317
650 0 $a Machine learning. $3 533906
700 1 $a Bouarara, Hadj Ahmed, $d 1990- $e editor. $3 3395789
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