메뉴 건너뛰기




Volumn , Issue , 2013, Pages 783-788

Sub-event detection during natural hazards using features of social media data

Author keywords

Emergency situation awareness; Natural hazards; Social media; Sub event detection

Indexed keywords

CLUSTER ANALYSIS; DATA MINING; DEFORESTATION; FEATURE EXTRACTION; SOCIAL NETWORKING (ONLINE);

EID: 84893039098     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2488046     Document Type: Conference Paper
Times cited : (31)

References (17)
  • 5
    • 37249032299 scopus 로고    scopus 로고
    • The 2004 and 2005 gulf coast hurricanes: Evolving roles and lessons learned for public libraries in disaster preparedness and community services
    • P. T. Jaeger, L. A. Langa, C. R. McClure, and J. C. Bertot. The 2004 and 2005 Gulf Coast Hurricanes: Evolving Roles and Lessons Learned for Public Libraries in Disaster Preparedness and Community Services. Public Library Quarterly, 25, 3/4, 199-214, 2007.
    • (2007) Public Library Quarterly , vol.25 , Issue.3-4 , pp. 199-214
    • Jaeger, P.T.1    Langa, L.A.2    Mcclure, C.R.3    Bertot, J.C.4
  • 11
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl, J. Ghosh, and C. Cardie. Cluster ensembles - A knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research, 583-617, vol. 3, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-617
    • Strehl1    Ghosh, J.2    Cardie, C.3
  • 17
    • 84865343020 scopus 로고    scopus 로고
    • Using social media to enhance emergency situation awareness
    • PrePrints, February 2012
    • Yin, J., Lampert, A., Cameron, M., Robinson, B., and Power, R. 2012. Using Social Media to Enhance Emergency Situation Awareness. In IEEE Intelligent Systems, vol. 99, PrePrints, February 2012.
    • (2012) IEEE Intelligent Systems , vol.99
    • Yin, J.1    Lampert, A.2    Cameron, M.3    Robinson, B.4    Power, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.