000 | 04538nam a22005895i 4500 | ||
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001 | 978-3-030-48099-8 | ||
003 | DE-He213 | ||
005 | 20240423125231.0 | ||
007 | cr nn 008mamaa | ||
008 | 200914s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030480998 _9978-3-030-48099-8 |
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024 | 7 |
_a10.1007/978-3-030-48099-8 _2doi |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUNH _2bicssc |
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_aUND _2bicssc |
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_aUND _2thema |
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082 | 0 | 4 |
_a025.04 _223 |
245 | 1 | 0 |
_aBig Data in Emergency Management: Exploitation Techniques for Social and Mobile Data _h[electronic resource] / _cedited by Rajendra Akerkar. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aXVIII, 183 p. 97 illus., 79 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _a1. 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 | _aThis 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 | _aInformation storage and retrieval systems. | |
650 | 0 | _aNatural disasters. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aApplication software. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aNatural Hazards. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aAkerkar, Rajendra. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030480981 |
776 | 0 | 8 |
_iPrinted edition: _z9783030481001 |
776 | 0 | 8 |
_iPrinted edition: _z9783030481018 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-48099-8 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c175701 _d175701 |