Deep learning innovations and their convergence with big data:
"This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"-- |
| Beschreibung: | 18 PDFs (xxii, 265 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522530169 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 020 | |z 9781522530152 |q hardcover | ||
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| 245 | 0 | 0 | |a Deep learning innovations and their convergence with big data |c S. Karthik, Anand Paul, and N. Karthikeyan, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 18 PDFs (xxii, 265 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 threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"-- |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 07/18/2017). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Machine learning |x Technological innovations. | |
| 700 | 1 | |a Karthik, S. |d 1977- |e editor. | |
| 700 | 1 | |a Karthikeyan, N. |d 1977- |e editor. | |
| 700 | 1 | |a Paul, Anand, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017011947 | |
| 776 | 0 | 8 | |i Print version: |z 1522530150 |z 9781522530152 |w (DLC) 2017011947 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00179332 |
|---|---|
| _version_ | 1804751455289081856 |
| adam_text | |
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| author2 | Karthik, S. 1977- Karthikeyan, N. 1977- Paul, Anand |
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| contents | Chapter 1. Advanced threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system. |
| ctrlnum | (CaBNVSL)slc19697334 (OCoLC)988698333 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00179332 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:51:50Z |
| institution | BVB |
| isbn | 9781522530169 |
| language | English |
| oclc_num | 988698333 |
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| physical | 18 PDFs (xxii, 265 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Deep learning innovations and their convergence with big data S. Karthik, Anand Paul, and N. Karthikeyan, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 18 PDFs (xxii, 265 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Advanced threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system. Restricted to subscribers or individual electronic text purchasers. "This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/18/2017). Big data. Machine learning Technological innovations. Karthik, S. 1977- editor. Karthikeyan, N. 1977- editor. Paul, Anand, editor. IGI Global, publisher. (Original) (DLC)2017011947 Print version: 1522530150 9781522530152 (DLC) 2017011947 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2 Volltext |
| spellingShingle | Deep learning innovations and their convergence with big data Chapter 1. Advanced threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system. Big data. Machine learning Technological innovations. |
| title | Deep learning innovations and their convergence with big data |
| title_auth | Deep learning innovations and their convergence with big data |
| title_exact_search | Deep learning innovations and their convergence with big data |
| title_full | Deep learning innovations and their convergence with big data S. Karthik, Anand Paul, and N. Karthikeyan, editors. |
| title_fullStr | Deep learning innovations and their convergence with big data S. Karthik, Anand Paul, and N. Karthikeyan, editors. |
| title_full_unstemmed | Deep learning innovations and their convergence with big data S. Karthik, Anand Paul, and N. Karthikeyan, editors. |
| title_short | Deep learning innovations and their convergence with big data |
| title_sort | deep learning innovations and their convergence with big data |
| topic | Big data. Machine learning Technological innovations. |
| topic_facet | Big data. Machine learning Technological innovations. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2 |
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