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Deep learning innovations and their ...

Karthik, S., (1977-)

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Deep learning innovations and their convergence with big data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning innovations and their convergence with big data/ S. Karthik, Anand Paul, and N. Karthikeyan, editors.
other author:	Karthik, S.,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xxii, 265 p.)
[NT 15003449]:	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.
Subject:	Machine learning - Technological innovations. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2
ISBN:	9781522530169 (ebook)

Deep learning innovations and their convergence with big data
Deep learning innovations and their convergence with big data[electronic resource] /S. Karthik, Anand Paul, and N. Karthikeyan, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxii, 265 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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"--

ISBN: 9781522530169 (ebook)Subjects--Topical Terms:

3231360
Machine learning
--Technological innovations.

LC Class. No.: Q325.5 / .D44 2018e

Dewey Class. No.: 006.3/1

Deep learning innovations and their convergence with big data
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020 $a 9781522530152 (hardcover)
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050 4 $a Q325.5 $b .D44 2018e
082 0 4 $a 006.3/1 $2 23
245 0 0 $a Deep learning innovations and their convergence with big data $h [electronic resource] / $c S. Karthik, Anand Paul, and N. Karthikeyan, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxii, 265 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
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.
650 0 $a Machine learning $x Technological innovations. $3 3231360
650 0 $a Big data. $3 2045508
700 1 $a Karthik, S., $d 1977- $e editor. $3 3310903
700 1 $a Paul, Anand, $e editor. $3 3310904
700 1 $a Karthikeyan, N., $d 1977- $e editor. $3 3310905
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2