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Volumn , Issue , 2013, Pages 1115-1122

Defending imitating attacks in web credibility evaluation systems

Author keywords

Imitating attack; Machine learning; Robustness; Web credibility

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; CLUSTERING ALGORITHMS; DECISION MAKING; LEARNING SYSTEMS; WEBSITES;

EID: 84893128820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2488131     Document Type: Conference Paper
Times cited : (9)

References (18)
  • 10
    • 0020848951 scopus 로고
    • A survey of recent advances in hierarchical clustering algorithms
    • F. Murtagh. A survey of recent advances in hierarchical clustering algorithms. Computer Journal, 26(4):354-359, 1983.
    • (1983) Computer Journal , vol.26 , Issue.4 , pp. 354-359
    • Murtagh, F.1
  • 13
    • 84893124175 scopus 로고    scopus 로고
    • A decentralized recommender system for effective web credibility assessment
    • A. Papaioannou, J.-E. Ranvier, A. O., and K. Aberer. A decentralized recommender system for effective web credibility assessment. In Proceedings of the CIKM, 2012.
    • (2012) Proceedings of the CIKM
    • Papaioannou, A.1    Ranvier, J.-E.2    Aberer, K.3
  • 14
    • 84857706400 scopus 로고    scopus 로고
    • Augmenting web pages and search results to support credibility assessment
    • J. Schwarz and M. Morris. Augmenting web pages and search results to support credibility assessment. In Proceedings of the SIGCHI, 2011.
    • (2011) Proceedings of the SIGCHI
    • Schwarz, J.1    Morris, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.