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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
Corporate Authors: IGI Global
Group Author: Karthik, S., 1977- (Editor); Paul, Anand (Editor); Karthikeyan, N., 1977- (Editor)
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: [2018]
Literature type: eBook
Language: English
Subjects:
Machine learning > Technological innovations.
Big data.
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2
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"--
Carrier Form: 18 PDFs (xxii, 265 pages)
Bibliography: Includes bibliographical references and index.
ISBN: 9781522530169
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: Q325
CLC: TP181
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.

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