메뉴 건너뛰기




Volumn 7, Issue 1, 2009, Pages 51-66

Integrating web content mining into web usage mining for finding patterns and predicting users' behaviors

Author keywords

Association rule; Clustering; Frequent word sequence; Web content mining; Web usage mining

Indexed keywords


EID: 79951495548     PISSN: 20088302     EISSN: 20088310     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (14)

References (17)
  • 4
    • 33751206207 scopus 로고    scopus 로고
    • An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
    • Chang, H. J., Hung, L. P., & Ho, C. L. (2007). An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis. Expert Systems with Applications, Elsevier, 753-764.
    • (2007) Expert Systems with Applications, Elsevier , pp. 753-764
    • Chang, H.J.1    Hung, L.P.2    Ho, C.L.3
  • 6
    • 0030288690 scopus 로고    scopus 로고
    • The world-wide web: Quagmire or gold mine?
    • November
    • Etzioni, O. (1996, November). The world-wide web: Quagmire or gold mine?. Communications of the ACM, 39(11), 58-65.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 58-65
    • Etzioni, O.1
  • 10
    • 0001781295 scopus 로고    scopus 로고
    • Web mining Research: A survey
    • Kosala, R., & Blockeel, H. (2000). Web mining Research: A survey. ACM SIGKDD, 2(1), 1-15.
    • (2000) ACM SIGKDD , vol.2 , Issue.1 , pp. 1-15
    • Kosala, R.1    Blockeel, H.2
  • 11
    • 0001421462 scopus 로고
    • Fast parallel and serial approximate string matching
    • Landau, G. M., & Vishkin, U. (1989). Fast parallel and serial approximate string matching. Journal of Algorithms, 10 (2), 157-169.
    • (1989) Journal of Algorithms , vol.10 , Issue.2 , pp. 157-169
    • Landau, G.M.1    Vishkin, U.2
  • 12
    • 36049012687 scopus 로고    scopus 로고
    • Text document clustering based on frequent word meaning sequences
    • doi: 10.1016/j.datak.2007.08.001
    • Li, Y., Chung, S. M., & Holt, J. D. (2007). Text document clustering based on frequent word meaning sequences. Data & Knowledge Engineering, doi: 10.1016/j.datak.2007.08.001.
    • (2007) Data & Knowledge Engineering
    • Li, Y.1    Chung, S.M.2    Holt, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.