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Volumn 1836, Issue , 2000, Pages 21-38

A generalization-based approach to clustering of Web usage sessions

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; WEB SERVICES; WEBSITES; WORLD WIDE WEB;

EID: 23044519893     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44934-5_2     Document Type: Conference Paper
Times cited : (68)

References (24)
  • 4
    • 0346702962 scopus 로고    scopus 로고
    • Discovering internet marketing intelligence through online analytical web usage mining
    • 22
    • A. Büchner and M. Mulvenna. Discovering internet marketing intelligence through online analytical web usage mining. SIGMOD Record, 27, 1998. 22
    • (1998) SIGMOD Record , vol.27
    • Büchner, A.1    Mulvenna, M.2
  • 8
    • 0030288690 scopus 로고    scopus 로고
    • The world-wide web: Quangmire or gold mine?
    • 21
    • O. Etzioni. The world-wide web: Quangmire or gold mine? Communications of ACM, 39:65-68, 1996. 21
    • (1996) Communications of ACM , vol.39 , pp. 65-68
    • Etzioni, O.1
  • 9
    • 0002738566 scopus 로고
    • Knowledge discovery in databases: An attributeoriented approach
    • Vancouver, Canada, August, 22, 24, 28
    • J. Han, Y. Cai, and N. Cercone. Knowledge discovery in databases: An attributeoriented approach. In Proc. 18th Int. Conf. Very Large Data Bases, pages 547-559, Vancouver, Canada, August 1992. 22, 24, 28
    • (1992) Proc. 18th Int. Conf. Very Large Data Bases , pp. 547-559
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 10
    • 0002889848 scopus 로고
    • Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases
    • Seattle, WA, July. 36
    • J. Han and Y. Fu. Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases. In Proc. AAAI'94 Workshop on Knowledge Discovery in Databases (KDD'94), pages 157-168, Seattle, WA, July 1994. 36
    • (1994) Proc. AAAI'94 Workshop on Knowledge Discovery in Databases (KDD'94) , pp. 157-168
    • Han, J.1    Fu, Y.2
  • 11
    • 0002479811 scopus 로고    scopus 로고
    • Exploration of the power of attribute-oriented induction in data mining
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors. AAAI/MIT Press. 25, 33
    • J. Han and Y. Fu. Exploration of the power of attribute-oriented induction in data mining. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 399-421. AAAI/MIT Press, 1996. 25, 33
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 399-421
    • Han, J.1    Fu, Y.2
  • 14
    • 0020783239 scopus 로고
    • Automated construction of classifications: Conceptual clustering versus numerical taxonomy
    • 23
    • R. S. Michalski and R. Stepp. Automated construction of classifications: Conceptual clustering versus numerical taxonomy. IEEE Trans. Pattern Analysis and Machine Intelligence, 5:396-410, 1983. 23
    • (1983) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.5 , pp. 396-410
    • Michalski, R.S.1    Stepp, R.2
  • 22
    • 0031677489 scopus 로고    scopus 로고
    • Discovering web access patterns and trends by applying olap and data mining technology on web logs
    • 22
    • O. R. Zaïane, X. Xin, and J. Han. Discovering web access patterns and trends by applying olap and data mining technology on web logs. In Proc. Advances in Digital Libraries, pages 19-29, 1998. 22
    • (1998) Proc. Advances in Digital Libraries , pp. 19-29
    • Zaïane, O.R.1    Xin, X.2    Han, J.3
  • 24
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Montreal, Canada, June. 22, 23, 28, 33
    • T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: an efficient data clustering method for very large databases. In Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data, pages 103-114, Montreal, Canada, June 1996. 22, 23, 28, 33
    • (1996) Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


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