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Volumn , Issue , 2011, Pages 551-556

Content-driven detection of campaigns in social media

Author keywords

campaign detection; social media

Indexed keywords

ADVERTISING CAMPAIGN; EXPERIMENTAL STUDIES; FREE TEXTS; GRAPH MINING; HIGH PRECISION; SOCIAL MEDIA; SOCIAL SYSTEMS; SPAM MESSAGES; TALKING POINT;

EID: 83055187614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063658     Document Type: Conference Paper
Times cited : (28)

References (11)
  • 6
    • 19944368437 scopus 로고    scopus 로고
    • Shilling recommender systems for fun and profit
    • S. K. Lam and J. Riedl. Shilling recommender systems for fun and profit. In WWW, 2004.
    • WWW, 2004
    • Lam, S.K.1    Riedl, J.2
  • 8
    • 57349131623 scopus 로고    scopus 로고
    • Spotsigs: Robust and efficient near duplicate detection in large web collections
    • M. Theobald, J. Siddharth, and A. Paepcke. Spotsigs: robust and efficient near duplicate detection in large web collections. In SIGIR, 2008.
    • SIGIR, 2008
    • Theobald, M.1    Siddharth, J.2    Paepcke, A.3
  • 9
    • 33749264452 scopus 로고    scopus 로고
    • The worst-case time complexity for generating all maximal cliques and computational experiments
    • DOI 10.1016/j.tcs.2006.06.015, PII S0304397506003586, Computing and Combinatorics
    • E. Tomita, A. Tanaka, and H. Takahashi. The worst-case time complexity for generating all maximal cliques and computational experiments. Theor. Comput. Sci., 363:28-42, 2006. (Pubitemid 44486521)
    • (2006) Theoretical Computer Science , vol.363 , Issue.1 , pp. 28-42
    • Tomita, E.1    Tanaka, A.2    Takahashi, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.