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Li et al., 2017 - Google Patents

  • ️Sun Jan 01 2017
Data-driven techniques in disaster information management

Li et al., 2017

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Document ID
4602825855065124823
Author
Xie N
Zeng C
Zhou W
Zheng L
Jiang Y
Yang Y
Ha H
Xue W
Huang Y
Chen S
Navlakha J
Iyengar S
Publication year
2017
Publication venue
ACM Computing Surveys (CSUR)

External Links

Snippet

Improving disaster management and recovery techniques is one of national priorities given the huge toll caused by man-made and nature calamities. Data-driven disaster management aims at applying advanced data collection and analysis technologies to achieve more …

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  • 238000000034 method 0 title abstract description 82

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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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