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Volumn 1805, Issue , 2000, Pages 396-407

Mining access patterns efficiently from web logs

Author keywords

[No Author keywords available]

Indexed keywords

BLOGS; TREES (MATHEMATICS); WORLD WIDE WEB;

EID: 77957967271     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45571-x_47     Document Type: Conference Paper
Times cited : (316)

References (15)
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    • Fast algorithms for mining association rules
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    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc 1994 nt Conf Very Large Data Bases, pages 487-499, Santiago, Chile, September 1994.
    • (1994) Proc 1994 Nt Conf Very Large Data Bases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 0002740930 scopus 로고    scopus 로고
    • Mining temporal relationships with multiple granularities in time sequences
    • C. Bettini, X. Sean Wang, and S. Jajodia. Mining temporal relationships with multiple granularities in time sequences. Data Engineering Bulletin, 21:32-38, 1998.
    • (1998) Data Engineering Bulletin , vol.21 , pp. 32-38
    • Bettini, C.1    Sean Wang, X.2    Jajodia, S.3
  • 6
    • 0032627945 scopus 로고    scopus 로고
    • Efficient mining of partial periodic patterns in time series database
    • Sydney, Australia, April
    • J. Han, G. Dong, and Y. Yin. Efficient mining of partial periodic patterns in time series database. In Proc 1999 Int Conf Data Engineering (ICDE'99), pages 106-115, Sydney, Australia, April 1999.
    • (1999) Proc 1999 Int Conf Data Engineering (ICDE'99) , pp. 106-115
    • Han, J.1    Dong, G.2    Yin, Y.3
  • 12
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • Montreal, Canada, June
    • R. Srikant and R. Agrawal. Mining quantitative association rules in large relational tables. In Proc 1996 ACM-SIGMOD Int Conf Management of Data, pages H 2, Montreal, Canada, June 1996.
    • (1996) Proc 1996 ACM-SIGMOD Int Conf Management of Data , pp. H2
    • Srikant, R.1    Agrawal, R.2
  • 13
    • 4444312470 scopus 로고    scopus 로고
    • Reading reader reaction: A proposal for inferential analysis of Web server log files
    • Denver, Colorado, June
    • T. Sullivan. Reading reader reaction: A proposal for inferential analysis of Web server log files. In Proc 3rd Conf Human Factors & The Web, Denver, Colorado, June 1997.
    • (1997) Proc 3Rd Conf Human Factors & the Web
    • Sullivan, T.1
  • 15
    • 0002426467 scopus 로고    scopus 로고
    • Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs
    • Melbourne, Austraha,, April
    • O. Zaiane, M. 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 Conf. (ADL'98), Melbourne, Austraha, pages 144-158, April 1998.
    • (1998) Proc Advances in Digital Libraries Conf. (ADL'98) , pp. 144-158
    • Zaiane, O.1    Xin, M.2    Han, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.