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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global,
[2018]
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| Series: | Advances in data mining and database management (ADMDM) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- 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.