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Deep learning innovations and their ...

Karthik, S., (1977-)

Deep learning innovations and their convergence with big data[electronic resource] /

Record Type:	Electronic resources : Monograph/item
[NT 15000414]:	006.3/1
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.)
Subject:	Machine learning - Technological innovations.
Subject:	Big data.
ISBN:	9781522530169 (ebook)
ISBN:	9781522530152 (hardcover)
[NT 15000227]:	Includes bibliographical references and index.
[NT 15000228]:	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.
[NT 15000229]:	"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"--
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2

Deep learning innovations and their convergence with big data[electronic resource] /
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:

683320
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[electronic resource] /
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020 $a 9781522530169 (ebook)
020 $a 9781522530152 (hardcover)
035 $a (OCoLC)988698333
035 $a 1071025283
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
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 683320
650 0 $a Big data. $3 571002
700 1 $a Karthik, S., $d 1977- $3 683317
700 1 $a Paul, Anand, $e editor. $3 733081
700 1 $a Karthikeyan, N., $d 1977- $3 683319
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2

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