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Volumn 4, Issue , 2010, Pages 2088-2093

Incremental clustering algorithm based on phrase-semantic similarity histogram

Author keywords

Incremental document clustering; Ontology; Semantic histogram; Semantic similarity; Wordnet

Indexed keywords


EID: 78149300200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2010.5580499     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
    • 13844267502 scopus 로고    scopus 로고
    • Efficient phrase-based document indexing for web document clustering
    • DOI 10.1109/TKDE.2004.58
    • K. Hammouda and M. Kamel. Efficient phrase-based document indexing for web document clustering. IEEE Transactions on Knowledge and Data Engineering 16(10):1279-1296, October. 2004 (Pubitemid 40242339)
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.10 , pp. 1279-1296
    • Hammouda, K.M.1    Kamel, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.