語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Big data in emergency managementexpl...
~
Akerkar, Rajendra.
Big data in emergency managementexploitation techniques for social and mobile data /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data in emergency managementedited by Rajendra Akerkar.
其他題名:
exploitation techniques for social and mobile data /
其他作者:
Akerkar, Rajendra.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xviii, 183 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Emergency managementData processing.
電子資源:
https://doi.org/10.1007/978-3-030-48099-8
ISBN:
9783030480998$q(electronic bk.)
Big data in emergency managementexploitation techniques for social and mobile data /
Big data in emergency management
exploitation techniques for social and mobile data /[electronic resource] :edited by Rajendra Akerkar. - Cham :Springer International Publishing :2020. - xviii, 183 p. :ill., digital ;24 cm.
1. Introduction to Emergency Management -- 2. Big Data -- 3. Learning Algorithms for Emergency Management -- 4. Knowledge Graphs and Natural-Language Processing -- 5. Social Media Mining for Disaster Management and Community Resilience -- 6. Big Data-Driven Citywide Human Mobility Modeling for Emergency Management -- 7. Smartphone based Emergency Communication -- 8. Emergency Information Visualisation.
This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community's vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.
ISBN: 9783030480998$q(electronic bk.)
Standard No.: 10.1007/978-3-030-48099-8doiSubjects--Topical Terms:
348453
Emergency management
--Data processing.
LC Class. No.: HV553
Dewey Class. No.: 384.33
Big data in emergency managementexploitation techniques for social and mobile data /
LDR
:03483nmm a2200337 a 4500
001
585893
003
DE-He213
005
20200914180957.0
006
m d
007
cr nn 008maaau
008
210323s2020 sz s 0 eng d
020
$a
9783030480998$q(electronic bk.)
020
$a
9783030480981$q(paper)
024
7
$a
10.1007/978-3-030-48099-8
$2
doi
035
$a
978-3-030-48099-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HV553
072
7
$a
UNH
$2
bicssc
072
7
$a
COM030000
$2
bisacsh
072
7
$a
UNH
$2
thema
072
7
$a
UND
$2
thema
082
0 4
$a
384.33
$2
23
090
$a
HV553
$b
.B592 2020
245
0 0
$a
Big data in emergency management
$h
[electronic resource] :
$b
exploitation techniques for social and mobile data /
$c
edited by Rajendra Akerkar.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xviii, 183 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Introduction to Emergency Management -- 2. Big Data -- 3. Learning Algorithms for Emergency Management -- 4. Knowledge Graphs and Natural-Language Processing -- 5. Social Media Mining for Disaster Management and Community Resilience -- 6. Big Data-Driven Citywide Human Mobility Modeling for Emergency Management -- 7. Smartphone based Emergency Communication -- 8. Emergency Information Visualisation.
520
$a
This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community's vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.
650
0
$a
Emergency management
$x
Data processing.
$3
348453
650
0
$a
Big data.
$3
609582
650
1 4
$a
Information Storage and Retrieval.
$3
274190
650
2 4
$a
Natural Hazards.
$3
348413
650
2 4
$a
Computer Communication Networks.
$3
218087
650
2 4
$a
Computer Applications.
$3
273760
650
2 4
$a
Artificial Intelligence.
$3
212515
700
1
$a
Akerkar, Rajendra.
$3
743409
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-48099-8
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000189710
電子館藏
1圖書
電子書
EB HV553 .B592 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-48099-8
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入