Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Deep learning innovations and their ...
~
Karthik, S., (1977-)
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 dataS. 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 learningTechnological 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:
777702
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
LDR
:02221nmm a2200277 a 4500
001
532752
003
IGIG
005
20181028113855.0
006
m o d
007
cr cn
008
181116s2018 pau fob 001 0 eng d
010
$z
2017011947
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
777702
650
0
$a
Big data.
$3
609582
700
1
$a
Karthik, S.,
$d
1977-
$e
editor.
$3
807959
700
1
$a
Paul, Anand,
$e
editor.
$3
807960
700
1
$a
Karthikeyan, N.,
$d
1977-
$e
editor.
$3
807961
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000153569
電子館藏
1圖書
電子書
EB Q325.5 D44 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login