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
Computational life sciences = data engineering and data mining for life sciences /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational life sciences/ edited by Jens Dorpinghaus ... [et al.].
其他題名:
data engineering and data mining for life sciences /
其他作者:
Dorpinghaus, Jens.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xii, 598 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computational Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-031-08411-9
ISBN:
9783031084119
Computational life sciences = data engineering and data mining for life sciences /
Computational life sciences
data engineering and data mining for life sciences /[electronic resource] :edited by Jens Dorpinghaus ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 598 p. :ill., digital ;24 cm. - Studies in big data,v. 1122197-6511 ;. - Studies in big data ;v.1..
Interesting Programming Languages used in Life Sciences -- Introduction to Java -- Basic Data Processing -- Algorithm Design -- Data and Knowledge Management -- Databases and Knowledge Graphs -- Knowledge Discovery and AI approaches for the Life Sciences -- Longitudinal Data.
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
ISBN: 9783031084119
Standard No.: 10.1007/978-3-031-08411-9doiSubjects--Topical Terms:
768837
Computational Intelligence.
LC Class. No.: QH324.2
Dewey Class. No.: 570.285574
Computational life sciences = data engineering and data mining for life sciences /
LDR
:02317nam a2200337 a 4500
001
1105480
003
DE-He213
005
20230304090139.0
006
m d
007
cr nn 008maaau
008
231013s2022 sz s 0 eng d
020
$a
9783031084119
$q
(electronic bk.)
020
$a
9783031084102
$q
(paper)
024
7
$a
10.1007/978-3-031-08411-9
$2
doi
035
$a
978-3-031-08411-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH324.2
072
7
$a
UN
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
570.285574
$2
23
090
$a
QH324.2
$b
.C738 2022
245
0 0
$a
Computational life sciences
$h
[electronic resource] :
$b
data engineering and data mining for life sciences /
$c
edited by Jens Dorpinghaus ... [et al.].
260
$a
Cham :
$c
2022.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xii, 598 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in big data,
$x
2197-6511 ;
$v
v. 112
505
0
$a
Interesting Programming Languages used in Life Sciences -- Introduction to Java -- Basic Data Processing -- Algorithm Design -- Data and Knowledge Management -- Databases and Knowledge Graphs -- Knowledge Discovery and AI approaches for the Life Sciences -- Longitudinal Data.
520
$a
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Bioinformatics.
$3
583857
650
1 4
$a
Data Engineering.
$3
1226308
650
0
$a
Data mining.
$3
528622
650
0
$a
Database management.
$3
557799
650
0
$a
Life sciences
$x
Data processing.
$3
934039
700
1
$a
Dorpinghaus, Jens.
$3
1414519
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Studies in big data ;
$v
v.1.
$3
1020233
856
4 0
$u
https://doi.org/10.1007/978-3-031-08411-9
950
$a
Mathematics and Statistics (SpringerNature-11649)
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