| ISBN |
3030480984 (hardcover)
|
| ISBN13桁 |
9783030480981 (hardcover)
|
| 無効なISBN等 |
9783030480998
|
| テキストの言語 |
英語
|
| 分類：NDC10版 |
369.3
|
| 本タイトル |
Big data in emergency management :
|
| タイトル関連情報 |
exploitation techniques for social and mobile data /
|
| 著者名 |
Rajendra Akerkar, editor.
|
| 出版地・頒布地 |
Cham, Switzerland :
|
| 出版者・頒布者名 |
Springer,
|
| 出版年・頒布年 |
[2020],
|
| 数量 |
xviii, 183 pages :
|
| 他の形態的事項 |
color illustrations ;
|
| 大きさ |
25 cm.
|
| 書誌注記 |
Includes bibliographical references.
|
| 内容注記 |
1. Introduction to Emergency Management / Rajendra Akerkar and Minsung Hong -- 2. Big Data / Andreas L. Opdahl and Vimala Nunavath -- 3. Learning Algorithms for Emergency Management / Minsung Hong and Rajendra Akerkar -- 4. Knowledge Graphs and Natural-Language Processing / Andreas L. Opdahl -- 5. Social Media Mining for Disaster Management and Community Resilience / Hemant Purohit and Steve Peterson -- 6. Big Data-Driven Citywide Human Mobility Modeling for Emergency Management / Zipei Fan, Xuan Song, and Ryosuke Shibasaki -- 7. Smartphone based Emergency Communication / Huawei Huang and Song Guo -- 8. Emergency Information Visualisation / Hoang Long Nguyen and Rajendra Akerkar.
|
| 要約、抄録、注釈等 |
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.
|
| 著者標目 |
Akerkar, Rajendra.
|
| 一般件名 |
Emergency management -- Data processing.
Big data. |
| 資料情報1 |
『Big data in emergency management :
exploitation techniques for social and mobile data /』 Rajendra Akerkar, editor. Springer, [2020],
（所蔵館：中央
請求記号：F/369.3/B59/B
資料コード：7113508920）
|
| URL |
https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352046068 |
