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Volumn Part F128815, Issue , 2013, Pages 1240-1248

Using Co-Visitation networks for detecting large scale online display advertising exchange fraud

Author keywords

Advertising exchanges; Fraud detection

Indexed keywords

CRIME; DATA MINING; FILTRATION; MARKETING; PREDICTIVE ANALYTICS;

EID: 84898025314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487575.2488207     Document Type: Conference Paper
Times cited : (24)

References (11)
  • 1
    • 77958155201 scopus 로고    scopus 로고
    • Supervised machine learning applied to link prediction in bipartite social networks
    • IEEE
    • N. Benchettara, R. Kanawati, and C. Rouveirol. Supervised machine learning applied to link prediction in bipartite social networks. In ASONAM, pages 326-330. IEEE, 2010.
    • (2010) ASONAM , pp. 326-330
    • Benchettara, N.1    Kanawati, R.2    Rouveirol, C.3
  • 6
    • 70350645569 scopus 로고    scopus 로고
    • Audience selection for on-line brand advertising: Privacy-friendly social network targeting
    • F. Provost, B. Dalessandro, R. Hook, X. Zhang, and A. Murray. Audience selection for on-line brand advertising: privacy-friendly social network targeting. In 15th ACM SIGKDD, pages 707-716, 2009.
    • (2009) 15th ACM SIGKDD , pp. 707-716
    • Provost, F.1    Dalessandro, B.2    Hook, R.3    Zhang, X.4    Murray, A.5
  • 9
    • 85025612340 scopus 로고    scopus 로고
    • Suspicious web domains cost online ad business $400m per year
    • April
    • M. Shields. Suspicious web domains cost online ad business $400m per year. Adweek, April 2013.
    • (2013) Adweek
    • Shields, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.