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Volumn 61, Issue , 2006, Pages 177-184

A framework of combining markov model with association rules for predicting web page accesses

Author keywords

Association rules; Markov models; Prediction

Indexed keywords

BROWSING HISTORY; LOW ORDER; MARKOV MODEL; STATE SPACE; USER SESSIONS; WEB USERS;

EID: 84870548847     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (20)

References (16)
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  • 4
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  • 5
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    • A Web Page Prediction Model Based on Click-Stream Tree Representation of User Behavior
    • Washington, DC, USA
    • Gunduz, S. & Ozsu, M. (2003), A Web Page Prediction Model Based on Click-Stream Tree Representation of User Behavior, in 'SIGKDD 03 Conference', Washington, DC, USA, pp. 24-27.
    • (2003) SIGKDD 03 Conference , pp. 24-27
    • Gunduz, S.1    Ozsu, M.2
  • 7
    • 84870505357 scopus 로고    scopus 로고
    • A Clickstream-Based Collaborative Filtering Personalization Model: Towards A Better Performance
    • Washington DC, USA
    • Kim, D., Lm, L., Adam, N., Atluri, V., Bieber, M. & Yesha, Y. (2004), A Clickstream-Based Collaborative Filtering Personalization Model: Towards A Better Performance, in 'WIDM 04 Conference', Washington DC, USA, pp. 12-13.
    • (2004) WIDM 04 Conference , pp. 12-13
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  • 8
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    • Discovery of Aggregate Usage Profiles forWeb Personalisation
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    • Mobasher, B., Dai, H., Luo, T. & Nakagawa, M. (2000), Discovery of Aggregate Usage Profiles forWeb Personalisation, in 'WebKDDWorkshop 2000', USA, pp. 61-82.
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    • Mobasher, B.1    Dai, H.2    Luo, T.3    Nakagawa, M.4
  • 9
    • 0141953855 scopus 로고    scopus 로고
    • Effective Personalization Based on Association Rule Discovery from Web Usage Data. WIDM 01
    • Atlanta, Georgia, USA
    • Mobasher, B., Dai, H., Luo, T. & Nakagawa, M. (2001), Effective Personalization Based on Association Rule Discovery from Web Usage Data, in 'WIDM 01, 3rd ACMWorkshop onWeb Information and Data Management', Atlanta, Georgia, USA, pp. 9-15.
    • (2001) 3rd ACMWorkshop onWeb Information and Data Management , pp. 9-15
    • Mobasher, B.1    Dai, H.2    Luo, T.3    Nakagawa, M.4
  • 14
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    • Building Association-Rule Based Sequential Classifiers for Web-document Prediction
    • Yang, Q., Li, T. & Wang, K. (2004), 'Building Association-Rule Based Sequential Classifiers for Web-document Prediction', Journal of Data Mining and Knowledge Discovery 8(3), 253-273.
    • (2004) Journal of Data Mining and Knowledge Discovery , vol.8 , Issue.3 , pp. 253-273
    • Yang, Q.1    Li, T.2    Wang, K.3
  • 16
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    • WAM:Miner:. the Search of Web Access Motifs from Historical Web Log Data
    • Germany
    • Zhao, Q., Bhowmick, S. S. & Gruenwald, L. (2005), WAM:Miner: In the Search of Web Access Motifs from Historical Web Log Data, in 'CIKM05 conference', Germany, pp. 421-428
    • (2005) CIKM05 conference , pp. 421-428
    • Zhao, Q.1    Bhowmick, S.S.2    Gruenwald, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.