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Volumn , Issue , 2005, Pages 315-320

Web usage mining using rough agglomerative clustering

Author keywords

Clickstream; Data mining; Rough sets; Similarity upper approximation; Web usage mining

Indexed keywords

ACTIVE AREA; AGGLOMERATIVE CLUSTERING; APPROXIMATION METHODS; CLICKSTREAM DATA; CLICKSTREAMS; DATA MINING TECHNIQUES; ROUGH SET; ROUGH-SET BASED; UPPER APPROXIMATION; USAGE PATTERNS; WEB CONTENT MINING; WEB DATA; WEB LOG FILE; WEB LOG MINING; WEB MINING; WEB PAGE; WEB STRUCTURE MINING; WEB USAGE MINING; WEB USAGE PATTERNS; WEB-BASED APPLICATIONS; WEBLOGS;

EID: 34447303287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 3
    • 38349015770 scopus 로고    scopus 로고
    • Temporal versus latest snapshot web usage mining using kohonen som and modified kohonen som based on the properties of rough sets theory
    • Hogo, M., Snorek, M. and Lingras, P., Temporal versus latest snapshot web usage mining using kohonen som and modified kohonen som based on the properties of rough sets theory, international journal on artificial intelligence tools, vol. 13, no. 3 (2004) 569-591.
    • (2004) International Journal on Artificial Intelligence Tools , vol.13 , Issue.3 , pp. 569-591
    • Hogo, M.1    Snorek, M.2    Lingras, P.3
  • 10
    • 5044226706 scopus 로고    scopus 로고
    • Clustering web transactions using rough approximation
    • In print
    • De, S.K., Radha Krishna, P.: Clustering web transactions using rough approximation, Fuzzy Sets and Systems (2004) (In print).
    • (2004) Fuzzy Sets and Systems
    • De, S.K.1    Radha Krishna, P.2
  • 13
    • 0034172490 scopus 로고    scopus 로고
    • Towards adaptive web sites: Conceptual framework and case study
    • Perkowitz, M., Etzioni, O.: Towards adaptive web sites: Conceptual framework and case study, Artificial Intelligence, 118 (2000) 245-275.
    • (2000) Artificial Intelligence , vol.118 , pp. 245-275
    • Perkowitz, M.1    Etzioni, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.