Advanced deep learning applications in big data analytics:
"This book explores the developing and application of deep learning in big data"--
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the developing and application of deep learning in big data"-- |
| Beschreibung: | 22 PDFs (351 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799827931 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 020 | |z 9781799827917 |q hardcover | ||
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| 024 | 7 | |a 10.4018/978-1-7998-2791-7 |2 doi | |
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| 245 | 0 | 0 | |a Advanced deep learning applications in big data analytics |c Hadj Ahmed Bouarara, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 22 PDFs (351 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 10/17/2020). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 7 | |a Artificial intelligence. |2 fast | |
| 650 | 7 | |a Big data. |2 fast | |
| 650 | 7 | |a Machine learning. |2 fast | |
| 700 | 1 | |a Bouarara, Hadj Ahmed |d 1990- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019043618 | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00237847 |
|---|---|
| _version_ | 1816797083338801152 |
| adam_text | |
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| author2 | Bouarara, Hadj Ahmed 1990- |
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| author_facet | Bouarara, Hadj Ahmed 1990- |
| building | Verbundindex |
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| 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. |
| ctrlnum | (CaBNVSL)slc00000825 (OCoLC)1128065256 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00237847 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799827931 |
| language | English |
| oclc_num | 1128065256 |
| open_access_boolean | |
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| physical | 22 PDFs (351 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
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| publishDateSort | 2020 |
| publisher | IGI Global, |
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| spelling | Advanced deep learning applications in big data analytics Hadj Ahmed Bouarara, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 22 PDFs (351 pages) text rdacontent electronic isbdmedia online resource rdacarrier 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"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 10/17/2020). Artificial intelligence. Big data. Machine learning. Artificial intelligence. fast Big data. fast Machine learning. fast Bouarara, Hadj Ahmed 1990- editor. IGI Global, publisher. (Original) (DLC)2019043618 Print version: 1799827917 9781799827917 (DLC) 2019043618 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2791-7 Volltext |
| spellingShingle | Advanced deep learning applications in big data analytics 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. Artificial intelligence. Big data. Machine learning. Artificial intelligence. fast Big data. fast Machine learning. fast |
| title | Advanced deep learning applications in big data analytics |
| title_auth | Advanced deep learning applications in big data analytics |
| title_exact_search | Advanced deep learning applications in big data analytics |
| title_full | Advanced deep learning applications in big data analytics Hadj Ahmed Bouarara, editor. |
| title_fullStr | Advanced deep learning applications in big data analytics Hadj Ahmed Bouarara, editor. |
| title_full_unstemmed | Advanced deep learning applications in big data analytics Hadj Ahmed Bouarara, editor. |
| title_short | Advanced deep learning applications in big data analytics |
| title_sort | advanced deep learning applications in big data analytics |
| topic | Artificial intelligence. Big data. Machine learning. Artificial intelligence. fast Big data. fast Machine learning. fast |
| topic_facet | Artificial intelligence. Big data. Machine learning. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2791-7 |
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