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
Machine Learning for Intelligent Dec...
~
Das, Himansu.
Machine Learning for Intelligent Decision Science
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine Learning for Intelligent Decision Science/ edited by Jitendra Kumar Rout, Minakhi Rout, Himansu Das.
其他作者:
Das, Himansu.
面頁冊數:
XII, 209 p. 113 illus., 78 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Data Mining and Knowledge Discovery. -
電子資源:
https://doi.org/10.1007/978-981-15-3689-2
ISBN:
9789811536892
Machine Learning for Intelligent Decision Science
Machine Learning for Intelligent Decision Science
[electronic resource] /edited by Jitendra Kumar Rout, Minakhi Rout, Himansu Das. - 1st ed. 2020. - XII, 209 p. 113 illus., 78 illus. in color.online resource. - Algorithms for Intelligent Systems,2524-7565. - Algorithms for Intelligent Systems,.
Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India -- Classification of ECG Heartbeat using Deep Convolutional Neural Network -- Breast Cancer Identification and Diagnosis Techniques -- Energy Efficient Resource Allocation in Data Centers using a Hybrid Evolutionary Algorithm -- Root Cause Analysis using Ensemble Model for Intelligent Decision-Making -- Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study -- Multi-Agent Based Systems In Machine Learning and Its Practical Case Studies -- Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images. .
The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.
ISBN: 9789811536892
Standard No.: 10.1007/978-981-15-3689-2doiSubjects--Topical Terms:
677765
Data Mining and Knowledge Discovery.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Machine Learning for Intelligent Decision Science
LDR
:02800nam a22004095i 4500
001
1021255
003
DE-He213
005
20200630194226.0
007
cr nn 008mamaa
008
210318s2020 si | s |||| 0|eng d
020
$a
9789811536892
$9
978-981-15-3689-2
024
7
$a
10.1007/978-981-15-3689-2
$2
doi
035
$a
978-981-15-3689-2
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
Machine Learning for Intelligent Decision Science
$h
[electronic resource] /
$c
edited by Jitendra Kumar Rout, Minakhi Rout, Himansu Das.
250
$a
1st ed. 2020.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
XII, 209 p. 113 illus., 78 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
Algorithms for Intelligent Systems,
$x
2524-7565
505
0
$a
Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India -- Classification of ECG Heartbeat using Deep Convolutional Neural Network -- Breast Cancer Identification and Diagnosis Techniques -- Energy Efficient Resource Allocation in Data Centers using a Hybrid Evolutionary Algorithm -- Root Cause Analysis using Ensemble Model for Intelligent Decision-Making -- Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study -- Multi-Agent Based Systems In Machine Learning and Its Practical Case Studies -- Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images. .
520
$a
The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Data Engineering.
$3
1226308
650
2 4
$a
Machine Learning.
$3
1137723
650
1 4
$a
Computational Intelligence.
$3
768837
650
0
$a
Data mining.
$3
528622
650
0
$a
Engineering—Data processing.
$3
1297966
650
0
$a
Machine learning.
$3
561253
650
0
$a
Computational intelligence.
$3
568984
700
1
$a
Das, Himansu.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1283557
700
1
$a
Rout, Minakhi.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1316893
700
1
$a
Rout, Jitendra Kumar.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1316892
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811536885
776
0 8
$i
Printed edition:
$z
9789811536908
776
0 8
$i
Printed edition:
$z
9789811536915
830
0
$a
Algorithms for Intelligent Systems,
$x
2524-7565
$3
1313417
856
4 0
$u
https://doi.org/10.1007/978-981-15-3689-2
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