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Volumn 25-27-September-2015, Issue , 2015, Pages 9-14

An iterative MapReduce framework for sports-based tweet clustering

Author keywords

Clustering; DBSCAN; Social media; Topic detection; Twister; Twitter

Indexed keywords

ITERATIVE METHODS; SOCIAL NETWORKING (ONLINE); SPORTS;

EID: 84962612387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2818567.2818569     Document Type: Conference Paper
Times cited : (4)

References (20)
  • 4
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • Dean, Jeffrey, and Sanjay Ghemawat. "MapReduce: simplified data processing on large clusters." Communications of the ACM 51. 1(2008):107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 8
    • 84884554344 scopus 로고    scopus 로고
    • Sensing trending topics in Twitter
    • Aiello, Luca Maria, et al. "Sensing trending topics in Twitter." Multimedia, IEEE Transactions on 15. 6(2013):1268-1282.
    • (2013) Multimedia, IEEE Transactions On , vol.15 , Issue.6 , pp. 1268-1282
    • Aiello, L.M.1
  • 9
    • 84995774405 scopus 로고    scopus 로고
    • Comparing twitter and traditional media using topic models
    • Springer Berlin Heidelberg
    • Zhao, Wayne Xin, et al. "Comparing twitter and traditional media using topic models." Advances in Information Retrieval. Springer Berlin Heidelberg, 2011. 338-349.
    • (2011) Advances in Information Retrieval , pp. 338-349
    • Zhao, W.X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.