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Volumn 26, Issue 11, 2003, Pages 1518-1523

Discovering preferred browsing paths from Web logs

Author keywords

E business; Preferred browsing paths; Support preference; Web log; Web usage mining

Indexed keywords

ALGORITHMS; DATA MINING; ELECTRONIC COMMERCE; MATRIX ALGEBRA; WEBSITES;

EID: 1542362251     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (10)
  • 2
    • 0031220368 scopus 로고    scopus 로고
    • Using a hash-based method with transaction trimming for mining association rules
    • Park J S, Chen M S, Yu P S. Using a hash-based method with transaction trimming for mining association rules. IEEE Transactions on Knowledge and Data Eng., 1997, 9(5): 813-825
    • (1997) IEEE Transactions on Knowledge and Data Eng. , vol.9 , Issue.5 , pp. 813-825
    • Park, J.S.1    Chen, M.S.2    Yu, P.S.3
  • 5
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • Canada
    • Srikant R, Agrawal R. Mining quantitative association rules in large relational tables. In: Proceedings of the ACM SIGMOD, Canada, 1996. 1-12
    • (1996) Proceedings of the ACM SIGMOD , pp. 1-12
    • Srikant, R.1    Agrawal, R.2
  • 7
    • 0031161999 scopus 로고    scopus 로고
    • Beyond market baskets: Generalizing association rules to correlations
    • Canada
    • Brin S, Motwani R, Silverstein C. Beyond market baskets: Generalizing association rules to correlations. In: Proceedings of the ACM SIGMOD, Canada, 1996. 255-276
    • (1996) Proceedings of the ACM SIGMOD , pp. 255-276
    • Brin, S.1    Motwani, R.2    Silverstein, C.3
  • 10
    • 77952329662 scopus 로고    scopus 로고
    • Data preparation for mining world wide web browsing patterns
    • Mobasher B, Srivastava J. Data preparation for mining world wide web browsing patterns. Knowledge and Information System, 1999, 1(1): 5-32
    • (1999) Knowledge and Information System , vol.1 , Issue.1 , pp. 5-32
    • Mobasher, B.1    Srivastava, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.