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Volumn 2002-January, Issue , 2002, Pages 394-398

Clustering Web sessions by sequence alignment

Author keywords

Clustering algorithms; Data mining; Electronic learning; Filtering algorithms; Information filtering; Information filters; Partitioning algorithms; Pattern analysis; Web mining; Web server

Indexed keywords

ALGORITHMS; DATA MINING; E-LEARNING; EXPERT SYSTEMS; FILTRATION; INFORMATION FILTERING;

EID: 84944030419     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2002.1045928     Document Type: Conference Paper
Times cited : (89)

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  • 4
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    • ROCK: A robust clustering algorithm for categorical attributes
    • S. Guha, R. Rastogi, and K. Shim. ROCK a robust clustering algorithm for categorical attributes. In ICDE, 1999
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    • G. Karypis, E.-H. Han, and V. Kumar. Chameleon: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer, 32(8):68-75, August 1999
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    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
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    • Towards evaluating learners' behaviour in a web-based distance learning environment
    • Madison, WI, August
    • O. R. Zaïane and J. Luo. Towards evaluating learners' behaviour in a web-based distance learning environment. In Proc. of IEEE Intl. Conf. on Advanced Learning Technologies, pages 357-360, Madison, WI, August 2001
    • (2001) Proc. of IEEE Intl. Conf. on Advanced Learning Technologies , pp. 357-360
    • Zaïane, O.R.1    Luo, J.2
  • 12
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • June
    • T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: an efficient data clustering method for very large databases. In ACM SIGMOD, pages 103-114, June 1996
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    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.