|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1196199700 |
| 003 |
OCoLC |
| 005 |
20240909213021.0 |
| 006 |
m o d |
| 007 |
cr cnu---unuuu |
| 008 |
200920s2020 sz o 000 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d YDXIT
|d NLW
|d GW5XE
|d EBLCP
|d SFB
|d LQU
|d UPM
|d OCLCF
|d UKMGB
|d UKAHL
|d N$T
|d OCLCO
|d OCL
|d OCLCO
|d SNK
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|
| 015 |
|
|
|a GBC0G9330
|2 bnb
|
| 016 |
7 |
|
|a 019942721
|2 Uk
|
| 019 |
|
|
|a 1197554823
|a 1197838865
|a 1202481410
|a 1264961895
|
| 020 |
|
|
|a 9783030480998
|q (electronic bk.)
|
| 020 |
|
|
|a 3030480992
|q (electronic bk.)
|
| 020 |
|
|
|z 3030480984
|
| 020 |
|
|
|z 9783030480981
|
| 024 |
7 |
|
|a 10.1007/978-3-030-48099-8
|2 doi
|
| 024 |
8 |
|
|a 10.1007/978-3-030-48
|
| 035 |
|
|
|a (OCoLC)1196199700
|z (OCoLC)1197554823
|z (OCoLC)1197838865
|z (OCoLC)1202481410
|z (OCoLC)1264961895
|
| 037 |
|
|
|a com.springer.onix.9783030480998
|b Springer Nature
|
| 050 |
|
4 |
|a HV551.2
|b .B54 2020
|
| 072 |
|
7 |
|a UNH
|2 bicssc
|
| 072 |
|
7 |
|a COM030000
|2 bisacsh
|
| 072 |
|
7 |
|a UNH
|2 thema
|
| 072 |
|
7 |
|a UND
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 245 |
0 |
0 |
|a Big data in emergency management :
|b exploitation techniques for social and mobile data /
|c Rajendra Akerkar, editor.
|
| 264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c [2020]
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 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 communitys 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 wi ll also want to purchase this book as a study guide.
|
| 588 |
0 |
|
|a Online resource; title from digital title page (viewed on November 04, 2020).
|
| 650 |
|
0 |
|a Emergency management
|x Data processing.
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
7 |
|a Natural disasters.
|2 bicssc
|
| 650 |
|
7 |
|a Network hardware.
|2 bicssc
|
| 650 |
|
7 |
|a Information technology: general issues.
|2 bicssc
|
| 650 |
|
7 |
|a Artificial intelligence.
|2 bicssc
|
| 650 |
|
7 |
|a Information retrieval.
|2 bicssc
|
| 650 |
|
7 |
|a Nature
|x Natural Disasters.
|2 bisacsh
|
| 650 |
|
7 |
|a Computers
|x Hardware
|x Network Hardware.
|2 bisacsh
|
| 650 |
|
7 |
|a Computers
|x Data Processing.
|2 bisacsh
|
| 650 |
|
7 |
|a Computers
|x Intelligence (AI) & Semantics.
|2 bisacsh
|
| 650 |
|
7 |
|a Computers
|x System Administration
|x Storage & Retrieval.
|2 bisacsh
|
| 650 |
|
7 |
|a Emergency management
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Big data
|2 fast
|
| 650 |
|
7 |
|a Application software
|2 fast
|
| 650 |
|
7 |
|a Artificial intelligence
|2 fast
|
| 650 |
|
7 |
|a Computer networks
|2 fast
|
| 650 |
|
7 |
|a Information storage and retrieval systems
|2 fast
|
| 650 |
|
7 |
|a Natural disasters
|2 fast
|
| 700 |
1 |
|
|a Akerkar, Rajendra,
|e editor.
|
| 758 |
|
|
|i has work:
|a Big data in emergency management (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFBdd9pb9TKjdjRCW7kDmd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|z 3030480984
|z 9783030480981
|w (OCoLC)1151195457
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-48099-8
|y Click for online access
|
| 903 |
|
|
|a SPRING-COMP2020
|
| 994 |
|
|
|a 92
|b HCD
|