Li et al., 2017 - Google Patents
- ️Sun Jan 01 2017
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 …
- 238000000034 method 0 title abstract description 82
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
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