語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)/ edited by Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy.
其他作者:
Aleksy, Markus.
面頁冊數:
XI, 175 p. 66 illus., 38 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Big Data. -
電子資源:
https://doi.org/10.1007/978-3-030-84337-3
ISBN:
9783030843373
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
[electronic resource] /edited by Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy. - 1st ed. 2022. - XI, 175 p. 66 illus., 38 illus. in color.online resource. - Lecture Notes in Networks and Systems,3092367-3389 ;. - Lecture Notes in Networks and Systems,1.
Chapter 1: This book covers machine learning and time series, blockchain technologies and applications, data security, deep learning and Internet of Thing -- Chapter 2: A three-step machine learning pipeline for detecting and explaining anomalies in the time series of industrial process plants -- Chapter 3: Detecting Phishing Websites using Neural Network and Bayes Classifier -- Chapter 4: A Blockchain Framework for On-demand Intermodal Interlining: Blocklining -- Chapter 5: Intersection of AI and Blockchain Technology: Concerns and Prospects.
The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
ISBN: 9783030843373
Standard No.: 10.1007/978-3-030-84337-3doiSubjects--Topical Terms:
1017136
Big Data.
LC Class. No.: Q342
Dewey Class. No.: 006.3
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
LDR
:02708nam a22003975i 4500
001
1088694
003
DE-He213
005
20220116191809.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030843373
$9
978-3-030-84337-3
024
7
$a
10.1007/978-3-030-84337-3
$2
doi
035
$a
978-3-030-84337-3
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
245
1 4
$a
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
$h
[electronic resource] /
$c
edited by Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
XI, 175 p. 66 illus., 38 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Lecture Notes in Networks and Systems,
$x
2367-3389 ;
$v
309
505
0
$a
Chapter 1: This book covers machine learning and time series, blockchain technologies and applications, data security, deep learning and Internet of Thing -- Chapter 2: A three-step machine learning pipeline for detecting and explaining anomalies in the time series of industrial process plants -- Chapter 3: Detecting Phishing Websites using Neural Network and Bayes Classifier -- Chapter 4: A Blockchain Framework for On-demand Intermodal Interlining: Blocklining -- Chapter 5: Intersection of AI and Blockchain Technology: Concerns and Prospects.
520
$a
The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Data Engineering.
$3
1226308
650
1 4
$a
Computational Intelligence.
$3
768837
650
0
$a
Big data.
$3
981821
650
0
$a
Engineering—Data processing.
$3
1297966
650
0
$a
Computational intelligence.
$3
568984
700
1
$a
Aleksy, Markus.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
670287
700
1
$a
Younas, Muhammad.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1067802
700
1
$a
Benbernou, Salima.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1300712
700
1
$a
Awan, Irfan.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1067803
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030843366
776
0 8
$i
Printed edition:
$z
9783030843380
830
0
$a
Lecture Notes in Networks and Systems,
$x
2367-3370 ;
$v
1
$3
1267315
856
4 0
$u
https://doi.org/10.1007/978-3-030-84337-3
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入