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Volumn 2002-January, Issue , 2002, Pages 121-125

A clustering approach for XML linked documents

Author keywords

Clustering algorithms; Conferences; Databases; Expert systems; Joining processes; Merging; Scattering; Unsupervised learning; Visualization; XML

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; EXPERT SYSTEMS; FLOW VISUALIZATION; GRAPHIC METHODS; HYPERTEXT SYSTEMS; MERGING; SCATTERING; SEMANTICS; UNSUPERVISED LEARNING; XML;

EID: 50249156973     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2002.1045887     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 2
    • 0002955696 scopus 로고    scopus 로고
    • Data mining for hypertext: A tutorial survey
    • S. Chakrabarti. Data Mining for Hypertext: A Tutorial survey. ACM SIGKDD Explorations, 1(2):1-11, 2000
    • (2000) ACM SIGKDD Explorations , vol.1 , Issue.2 , pp. 1-11
    • Chakrabarti, S.1
  • 7
    • 0029717331 scopus 로고    scopus 로고
    • Hypursuit: A hierarchical network search engine that exploits content-link hypertext clustering
    • R.Weiss et al. Hypursuit: A Hierarchical Network Search Engine that exploits Content-Link Hypertext Clustering. In Proc. of the 7th ACMConference on Hypertext, pages 180-193, 1996
    • (1996) Proc. of the 7th ACMConference on Hypertext , pp. 180-193
    • Weiss, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.