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▼a 9781522530169
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▼a 1522530169
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▼z 9781522530152
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▼a Deep learning innovations and their convergence with big data
▼h [electronic resource]/
▼d S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia. -
260
▼a Hershey, PA:
▼b IGI Global,
▼c 2018. -
300
▼a 1 online resource (xxii, 265 pages):
▼b illustrations. -
336
▼a text
▼b txt
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▼a computer
▼b c
▼2 rdamedia -
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▼a online resource
▼b cr
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490
▼a Advances in data mining and database management (ADMDM) book series
-
500
▼a "Premier reference source"--Cover.
-
504
▼a Includes bibliographical references and index.
-
505
▼a Advanced threat detection based on big data technologies / Madhvaraj M. Shetty, Manjaiah D.H. -- A brief review on deep learning and types of implementation for deep learning / Uthra Kunathur Thikshaja, Anand Paul -- Big spectrum data and deep learning techniques for cognitive wireless networks / Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma -- Efficiently processing big data in real-time employing deep learning algorithm / Murad Khan, Bhagya Nathali Silva, Kijun Han -- Digital investigation of cybercrimes based on big data analytics using deep learning / Ezz El-Din Hemdan, Manjaiah D. H. -- Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques / Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui -- Big data deep analytics for geosocial networks / Muhammad Mazhar Ullah Rathore, Awais Ahmad, Anand Paul -- Data science: recent developments and future insights / Sabitha Rajagopal -- Data science and computational biology / Singaraju Jyothi, Bhargavi P-- After cloud: in hypothetical world / Shigeki Sugiyama -- Cloud-based big data analytics in smart educational system / Newlin Rajkumar Manokaran, Venkatesa Kumar Varathan, Shalinie Deepak.
-
520
▼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. -
588
▼a Description based on print version record.
-
590
▼a Master record variable field(s) change: 050
-
650
▼a Machine learning
▼x Technological innovations. -
650
▼a Big data.
-
655
▼a Electronic books.
-
700
▼a Karthik, S.,
▼d 1977-,
▼e editor. -
700
▼a Paul, Anand,
▼e editor. -
700
▼a Karthikeyan, N.,
▼d 1977-,
▼e editor. -
776
▼i Print version:
▼t Deep learning innovations and their convergence with big data.
▼d Hershey, PA : Information Science Reference, [2018],
▼z 9781522530152
▼w (DLC) 2017011947
▼w (OCoLC)985077717 -
830
▼a Advances in data mining and database management (ADMDM) book series.
-
856
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1559773 -
990
▼a 강리원
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991
▼a eBook
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상세정보
Deep learning innovations and their convergence with big data [electronic resource]
QR코드| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781522530169 |
| ISBN : | 1522530169 |
| ISBN : | |
| ISBN : | |
| 서명/저자사항 : | Deep learning innovations and their convergence with big data [electronic resource]/ S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia. |
| 발행사항 : | Hershey, PA: IGI Global, 2018. |
| 형태사항 : | 1 online resource (xxii, 265 pages): illustrations. |
| 총서사항 : | Advances in data mining and database management (ADMDM) book series |
| 일반주기 : | "Premier reference source"--Cover. |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | Advanced threat detection based on big data technologies / Madhvaraj M. Shetty, Manjaiah D.H. -- A brief review on deep learning and types of implementation for deep learning / Uthra Kunathur Thikshaja, Anand Paul -- Big spectrum data and deep learning techniques for cognitive wireless networks / Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma -- Efficiently processing big data in real-time employing deep learning algorithm / Murad Khan, Bhagya Nathali Silva, Kijun Han -- Digital investigation of cybercrimes based on big data analytics using deep learning / Ezz El-Din Hemdan, Manjaiah D. H. -- Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques / Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui -- Big data deep analytics for geosocial networks / Muhammad Mazhar Ullah Rathore, Awais Ahmad, Anand Paul -- Data science: recent developments and future insights / Sabitha Rajagopal -- Data science and computational biology / Singaraju Jyothi, Bhargavi P-- After cloud: in hypothetical world / Shigeki Sugiyama -- Cloud-based big data analytics in smart educational system / Newlin Rajkumar Manokaran, Venkatesa Kumar Varathan, Shalinie Deepak. |
| 초록 : | "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. |
| 일반주제명 : | Machine learning -- Technological innovations. -- |
| 일반주제명 : | Big data. -- |
| 개인저자 : | Karthik, S., 1977-, editor. |
| 개인저자 : | Paul, Anand, editor. |
| 개인저자 : | Karthikeyan, N., 1977-, editor. |
| 기타형태 저록 : | Print version: Deep learning innovations and their convergence with big data. Hershey, PA : Information Science Reference, [2018], 9781522530152 |
| 언어 | 영어 |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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