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Volumn , Issue , 2014, Pages 354-358

Tweedr: Mining twitter to inform disaster response

Author keywords

Disaster response; Social media; Social network analysis; Text mining

Indexed keywords

DATA MINING; DISASTER PREVENTION; DISASTERS; EXTRACTION; FILTRATION; INFORMATION SYSTEMS; SOCIAL NETWORKING (ONLINE);

EID: 84905845531     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (229)

References (11)
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    • Space/time trade-offs in hash coding with allowable errors
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    • B. H. Bloom. Space/time trade-offs in hash coding with allowable errors. Commun. ACM, 13(7):422426, July 1970.
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    • Bloom, B.H.1
  • 4
    • 84855837557 scopus 로고    scopus 로고
    • Social media data mining: A social network analysis of tweets during the 2010-2011 Australian floods
    • F. Cheong and C. Cheong. Social media data mining: A social network analysis of tweets during the 2010-2011 Australian floods. In PACIS'11, pages 46-46, 2011.
    • (2011) PACIS'11 , pp. 46-46
    • Cheong, F.1    Cheong, C.2
  • 6
    • 85158141696 scopus 로고    scopus 로고
    • TweetTracker: An analysis tool for humanitarian and disaster relief
    • S. Kumar, G. Barbier, M. A. Abbasi, and H. Liu. TweetTracker: An analysis tool for humanitarian and disaster relief. In ICWSM'11, 2011.
    • (2011) ICWSM'11
    • Kumar, S.1    Barbier, G.2    Abbasi, M.A.3    Liu, H.4
  • 7
    • 84873193842 scopus 로고    scopus 로고
    • Class-imbalanced classifiers for high-dimensional data
    • Mar. PMID: 22408190
    • W.-J. Lin and J. J. Chen. Class-imbalanced classifiers for high-dimensional data. Briefings in Bioinformatics, page bbs006, Mar. 2012. PMID: 22408190.
    • (2012) Briefings in Bioinformatics , pp. 006
    • Lin, W.-J.1    Chen, J.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.