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Volumn 17, Issue 9, 2005, Pages 1300-1304

GHIC: A hierarchical pattern-based clustering algorithm for grouping web transactions

Author keywords

Association rules; Classification; Clustering; Data mining; Web mining

Indexed keywords

HIERARCHICAL PATTERN BASED CLUSTERING; WEB MINING; WEB USAGE DATA;

EID: 33847018674     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2005.145     Document Type: Article
Times cited : (31)

References (7)
  • 1
    • 33947688037 scopus 로고    scopus 로고
    • E. Han, G. Karypis, V. Kumar, and B. Mobasher, Clustering Based on Association Rule Hypergraphs, Technical Report TR-97-019, Dept. of Computer Science, Univ. of Minnesota, Minneapolis, 1997.
    • E. Han, G. Karypis, V. Kumar, and B. Mobasher, "Clustering Based on Association Rule Hypergraphs," Technical Report TR-97-019, Dept. of Computer Science, Univ. of Minnesota, Minneapolis, 1997.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.