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Volumn , Issue , 2008, Pages 1449-1450

GHOST: An effective graph-based framework for name distinction

Author keywords

Clustering; Graph; Name distinction; Similarity

Indexed keywords

CLUSTERING; DATA SETS; GRAPH; GRAPH-BASED; NAME DISTINCTION; SIMILARITY; STATE-OF-THE-ART METHODS;

EID: 70349249927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458327     Document Type: Conference Paper
Times cited : (12)

References (3)
  • 1
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • B. J. Frey and D. Dueck. Clustering by passing messages between data points. Science, 2007.
    • (2007) Science
    • Frey, B.J.1    Dueck, D.2
  • 2
    • 4944235920 scopus 로고    scopus 로고
    • Two supervised learning approaches for name disambiguation in author citations
    • H. Han, L. Giles, H. Zha, C. Li, and K. Tsioutsiouliklis. Two supervised learning approaches for name disambiguation in author citations. In JCDL, 2004.
    • (2004) JCDL
    • Han, H.1    Giles, L.2    Zha, H.3    Li, C.4    Tsioutsiouliklis, K.5
  • 3
    • 34548791703 scopus 로고    scopus 로고
    • Object distinction: Distinguishing objects with identical names
    • X. Yin, J. Han, and P. S. Yu. Object distinction: Distinguishing objects with identical names. In ICDE, 2007.
    • (2007) ICDE
    • Yin, X.1    Han, J.2    Yu, P.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.