Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computational Intelligence for Big D...
~
SpringerLink (Online service)
Computational Intelligence for Big Data Analysis = Frontier Advances and Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computational Intelligence for Big Data Analysis/ edited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal.
Reminder of title:
Frontier Advances and Applications /
other author:
Acharjya, D.P.
Description:
XX, 267 p. 83 illus., 12 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-16598-1
ISBN:
9783319165981
Computational Intelligence for Big Data Analysis = Frontier Advances and Applications /
Computational Intelligence for Big Data Analysis
Frontier Advances and Applications /[electronic resource] :edited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal. - 1st ed. 2015. - XX, 267 p. 83 illus., 12 illus. in color.online resource. - Adaptation, Learning, and Optimization,191867-4534 ;. - Adaptation, Learning, and Optimization,18.
“Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- Learning Using Hybrid Intelligence Techniques -- Neutrosophic Sets and its Applications to Decision Making -- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis -- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization -- A Spectrum of Big Data Applications for Data Analytics -- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques -- BigData: Processing of Data Intensive Applications on Cloud -- Framework for Supporting Heterogenous Clouds using Model Driven Approach -- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions -- Cloud Based E-Governance Solution: A Case Study.
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
ISBN: 9783319165981
Standard No.: 10.1007/978-3-319-16598-1doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational Intelligence for Big Data Analysis = Frontier Advances and Applications /
LDR
:03149nam a22004095i 4500
001
969850
003
DE-He213
005
20200702114610.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319165981
$9
978-3-319-16598-1
024
7
$a
10.1007/978-3-319-16598-1
$2
doi
035
$a
978-3-319-16598-1
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 0
$a
Computational Intelligence for Big Data Analysis
$h
[electronic resource] :
$b
Frontier Advances and Applications /
$c
edited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
XX, 267 p. 83 illus., 12 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
Adaptation, Learning, and Optimization,
$x
1867-4534 ;
$v
19
505
0
$a
“Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- Learning Using Hybrid Intelligence Techniques -- Neutrosophic Sets and its Applications to Decision Making -- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis -- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization -- A Spectrum of Big Data Applications for Data Analytics -- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques -- BigData: Processing of Data Intensive Applications on Cloud -- Framework for Supporting Heterogenous Clouds using Model Driven Approach -- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions -- Cloud Based E-Governance Solution: A Case Study.
520
$a
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Data mining.
$3
528622
650
0
$a
Artificial intelligence.
$3
559380
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Artificial Intelligence.
$3
646849
700
1
$a
Acharjya, D.P.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1141448
700
1
$a
Dehuri, Satchidananda.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
678991
700
1
$a
Sanyal, Sugata.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1265415
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319165998
776
0 8
$i
Printed edition:
$z
9783319165974
776
0 8
$i
Printed edition:
$z
9783319362007
830
0
$a
Adaptation, Learning, and Optimization,
$x
1867-4534 ;
$v
18
$3
1261891
856
4 0
$u
https://doi.org/10.1007/978-3-319-16598-1
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login