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...

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Bibliographic Details
Other Authors: Karthik, S., 1977-, Paul, Anand, Karthikeyan, N., 1977-
Format: eBook
Language:English
Published: Hershey, PA IGI Global, [2018]
Series:Advances in data mining and database management (ADMDM) book series.
Subjects:
Online Access:EBSCOhost
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049 |a MAIN 
245 0 0 |a Deep learning innovations and their convergence with big data  |c S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia. 
264 1 |a Hershey, PA  |b IGI Global,  |c [2018] 
300 |a 1 online resource (xxii, 265 pages)  |b illustrations. 
490 1 |a Advances in data mining and database management (ADMDM) book series 
500 |a "Premier reference source"--Cover. 
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. 
504 |a Includes bibliographical references and index. 
505 0 |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. 
588 |a Description based on print version record. 
653 0 |a Machine learning  |x Technological innovations. 
653 0 |a Big data. 
653 7 |a COMPUTERS / General  |2 bisacsh 
655 0 |a EBSCO eBooks  |9 905790 
655 0 |a Electronic books.  |9 899821 
700 1 |a Karthik, S.,  |d 1977-  |9 912705 
700 1 |a Paul, Anand,  |9 912706 
700 1 |a Karthikeyan, N.,  |d 1977-  |9 912707 
830 0 |a Advances in data mining and database management (ADMDM) book series.  |9 910005 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/1559773.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1013874 
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