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Deep learning innovations and their convergence with big data / S. Karthik, Anand Paul, and N. Karthikeyan, editors.
- Format:
- Book
- Author/Creator:
- Karthik, S., 1977- author.
- Series:
- Advances in data mining and database management (ADMDM) book series.
- Advances in Data Mining and Database Management (ADMDM) Book Series, 2327-199X
- Language:
- English
- Subjects (All):
- Machine learning--Technological innovations.
- Machine learning.
- Big data.
- Physical Description:
- 18 PDFs (xxii, 265 pages)
- Place of Publication:
- Hershey, Pennsylvania : IGI Global, 2018.
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "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.
- 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.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781522530169
- 1522530169
- OCLC:
- 988698333
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