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
Big Data and Networks Technologies
~
SpringerLink (Online service)
Big Data and Networks Technologies
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Big Data and Networks Technologies/ edited by Yousef Farhaoui.
其他作者:
Farhaoui, Yousef.
面頁冊數:
VII, 372 p. 181 illus., 120 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Big Data. -
電子資源:
https://doi.org/10.1007/978-3-030-23672-4
ISBN:
9783030236724
Big Data and Networks Technologies
Big Data and Networks Technologies
[electronic resource] /edited by Yousef Farhaoui. - 1st ed. 2020. - VII, 372 p. 181 illus., 120 illus. in color.online resource. - Lecture Notes in Networks and Systems,812367-3370 ;. - Lecture Notes in Networks and Systems,1.
This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.
ISBN: 9783030236724
Standard No.: 10.1007/978-3-030-23672-4doiSubjects--Topical Terms:
1017136
Big Data.
LC Class. No.: TA345-345.5
Dewey Class. No.: 620.00285
Big Data and Networks Technologies
LDR
:02513nam a22003975i 4500
001
1026500
003
DE-He213
005
20200702220832.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030236724
$9
978-3-030-23672-4
024
7
$a
10.1007/978-3-030-23672-4
$2
doi
035
$a
978-3-030-23672-4
050
4
$a
TA345-345.5
072
7
$a
UN
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UN
$2
thema
072
7
$a
TB
$2
thema
082
0 4
$a
620.00285
$2
23
245
1 0
$a
Big Data and Networks Technologies
$h
[electronic resource] /
$c
edited by Yousef Farhaoui.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
VII, 372 p. 181 illus., 120 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
2367-3370 ;
$v
81
520
$a
This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Computational Intelligence.
$3
768837
650
1 4
$a
Data Engineering.
$3
1226308
650
0
$a
Big data.
$3
981821
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Engineering—Data processing.
$3
1297966
700
1
$a
Farhaoui, Yousef.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1302855
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030236717
776
0 8
$i
Printed edition:
$z
9783030236731
830
0
$a
Lecture Notes in Networks and Systems,
$x
2367-3370 ;
$v
1
$3
1267315
856
4 0
$u
https://doi.org/10.1007/978-3-030-23672-4
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