메뉴 건너뛰기




Volumn 1, Issue , 2005, Pages 169-180

Using association rules for fraud detection in web advertising networks

Author keywords

[No Author keywords available]

Indexed keywords

APPLICABILITY; ASSOCIATION RULES; FRAUD DETECTION; MODULAR DESIGN;

EID: 33745586336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (23)
  • 15
    • 77049088731 scopus 로고    scopus 로고
    • Efficient computation of frequent and top-k elements in data streams
    • An extended version appeared as a University of California, Santa Barbara, Department of Computer Sciemce, technical report 2005-23
    • A. Metwally, D. Agrawal, and A. El Abbadi. Efficient Computation of Frequent and Top-k Elements in Data Streams. In Proceedings of the 10th ICDT International Conference on Database Theory, pages 398-412, 2005. An extended version appeared as a University of California, Santa Barbara, Department of Computer Sciemce, technical report 2005-23.
    • (2005) Proceedings of the 10th ICDT International Conference on Database Theory , pp. 398-412
    • Metwally, A.1    Agrawal, D.2    El Abbadi, A.3
  • 16
    • 33745601596 scopus 로고    scopus 로고
    • Using association rules for fraud detection in web advertising networks
    • University of California, Santa Barbara
    • A. Metwally, D. Agrawal, and A. El Abbadi. Using Association Rules for Fraud Detection in Web Advertising Networks. Technical Report 2005-13, University of California, Santa Barbara, 2005.
    • (2005) Technical Report , vol.2005 , Issue.13
    • Metwally, A.1    Agrawal, D.2    El Abbadi, A.3
  • 18
    • 3042687811 scopus 로고    scopus 로고
    • Analysis of a very large web search engine query log
    • C. Silverstein, H. Marais, M. Henzinger, and M. Moricz. Analysis of a Very Large Web Search Engine Query Log. SIGIR Forum, 33(1):6-12, 1999.
    • (1999) SIGIR Forum , vol.33 , Issue.1 , pp. 6-12
    • Silverstein, C.1    Marais, H.2    Henzinger, M.3    Moricz, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.