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Volumn , Issue , 2004, Pages 1020-1021

A Web personalization system based on Web usage mining techniques

Author keywords

Clustering; Web personalization; Web usage mining

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA PROCESSING; DATABASE SYSTEMS; FUZZY SETS; PATTERN RECOGNITION; WORLD WIDE WEB;

EID: 19944414008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (5)
  • 1
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (autoclass): Theory and results
    • Eds. AAAI Press/MIT Press
    • P. Cheeseman and J. Stutz. Bayesian classification (autoclass): theory and results. Advances in Knowledge Discovery and Data Mining, Eds. AAAI Press/MIT Press, pages 61-83, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 61-83
    • Cheeseman, P.1    Stutz, J.2
  • 3
    • 19944425577 scopus 로고    scopus 로고
    • Web mining for web personalization
    • Feb.
    • M. Eirinaki and M. Vazirgiannis. Web mining for web personalization. ACM TOIT., 3(l):2-27, Feb. 2003.
    • (2003) ACM TOIT , vol.3 , Issue.50 , pp. 2-27
    • Eirinaki, M.1    Vazirgiannis, M.2
  • 4
    • 84958804013 scopus 로고    scopus 로고
    • Personalization on the net using web mining
    • Aug.
    • M. Mulvenna, S. Anand, and A. Buchner. Personalization on the net using web mining. CACM, 43(8):123-125, Aug. 2000.
    • (2000) CACM , vol.43 , Issue.8 , pp. 123-125
    • Mulvenna, M.1    Anand, S.2    Buchner, A.3
  • 5
    • 0036925480 scopus 로고    scopus 로고
    • Research and development in web usage mining system-key issues and proposed solutions: A survey
    • Nov.
    • F. Zhang and H. Chang. Research and development in web usage mining system-key issues and proposed solutions: a survey. In First IEEE Int. Conf. on Machine Learning and Cybernetics Proceedings, pages 986-990, Nov. 2002.
    • (2002) First IEEE Int. Conf. on Machine Learning and Cybernetics Proceedings , pp. 986-990
    • Zhang, F.1    Chang, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.