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Volumn 180, Issue , 2012, Pages 823-827

A real-time disease surveillance architecture using social networks

Author keywords

Disease detection; Information retrieval; Real time search; Twitter

Indexed keywords

ARCHITECTURE; DATA MINING; INFORMATION RETRIEVAL; SOCIAL NETWORKING (ONLINE);

EID: 84872525494     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-101-4-823     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 6
    • 84893233396 scopus 로고    scopus 로고
    • Dengue surveillance based on a computational model of spatiotemporal locality of Twitter
    • June
    • Gomide J, Veloso A, Meira W. Dengue surveillance based on a computational model of spatiotemporal locality of Twitter. Proceedings of the ACM WebSci'11. 2011 June.
    • (2011) Proceedings of the ACM WebSci'11
    • Gomide, J.1    Veloso, A.2    Meira, W.3
  • 8
    • 84872585725 scopus 로고    scopus 로고
    • accessed 2012 Jan 20
    • Twitter API. http://apiwiki.twitter.com/Twitter-APIDocumentation. (accessed 2012 Jan 20)
    • Twitter, A.P.I.1
  • 9
    • 84872527413 scopus 로고    scopus 로고
    • accessed 2012 Jan 16
    • Apache Lucene. http://lucene.apache.org/ (accessed 2012 Jan 16)
  • 10
    • 84872503822 scopus 로고    scopus 로고
    • accessed 2012 Jan 20
    • JSON. http://www.json.org/. (accessed 2012 Jan 20)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.