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Volumn 2703, Issue , 2003, Pages 35-49

Automatic categorization of Web pages and user clustering with mixtures of hidden Markov models

Author keywords

Automatic categorization; Clustering; Data mining; Hidden Markov models; Mixture models; Navigation patterns; User profiling; Web usage mining

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; DATA MINING; GRAPHIC METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; NAVIGATION; PROBABILITY; SEMANTICS; MIXTURES; WEBSITES;

EID: 23144437001     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39663-5_3     Document Type: Conference Paper
Times cited : (20)

References (14)
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  • 2
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    • Cadez, I.1    Heckerman, D.2    Meek, C.3    Smyth, P.4    White, S.5
  • 7
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    • Computing the entropy of user navigation in the web
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    • (1999) Technical Report
    • Levene, M.1    Loizou, G.2
  • 8
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    • A tutorial on hidden Markov models and selected applications in speech recognition
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  • 12
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    • Clustering sequences with hidden markov models
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    • Smyth, P.1
  • 13
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    • Probabilistic model-based clustering of multivariate and sequential data
    • P. Smyth. Probabilistic model-based clustering of multivariate and sequential data. In Proc. of 7th Int. Workshop AI and Statistics, pages 299-304, 1999.
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    • Smyth, P.1
  • 14
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    • Web usage mining: Discovery and applications of usage patterns from web data
    • J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, 1(2), 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.