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Volumn 260, Issue , 2014, Pages 64-73

Twitter spammer detection using data stream clustering

Author keywords

Clustering; Data stream; Spam detection; Twitter

Indexed keywords

CLUSTERING; DATA STREAM; DATA STREAM CLUSTERING; FALSE POSITIVE RATES; SPAM DETECTION; SPAM IDENTIFICATION; SPAMMER DETECTIONS; TWITTER;

EID: 84891736632     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.11.016     Document Type: Article
Times cited : (305)

References (21)
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    • Density connected clustering with local subspace preferences
    • C. Bohm, K. Kailing, H. Kriegel, P. Kroger, Density connected clustering with local subspace preferences, in: ICDMI, 2004, pp. 27-34.
    • (2004) ICDMI , pp. 27-34
    • Bohm, C.1    Kailing, K.2    Kriegel, H.3    Kroger, P.4
  • 7
    • 33745434639 scopus 로고    scopus 로고
    • Density-Based Clustering over an Evolving Data Stream with Noise
    • Bethesda
    • F. Cao, M. Ester, W. Qian, A. Zhou, Density-Based Clustering over an Evolving Data Stream with Noise, in: SIAM Conference Data Mining, Bethesda, 2006.
    • (2006) SIAM Conference Data Mining
    • Cao, F.1    Ester, M.2    Qian, W.3    Zhou, A.4
  • 10
    • 4544303932 scopus 로고    scopus 로고
    • Coresets for k-means and k-median Clustering and their Applications
    • S. Har-Peled, S. Mazumdar, Coresets for k-means and k-median Clustering and their Applications, in: Proc 36th ACM Sympos. Theory Comput, 2004, pp. 291-300.
    • (2004) Proc 36th ACM Sympos. Theory Comput , pp. 291-300
    • Har-Peled, S.1    Mazumdar, S.2
  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.