메뉴 건너뛰기




Volumn , Issue , 2011, Pages 824-829

Extracting social dimensions using Fiedler embedding

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; DATA SETS; EDGE-BASED; FEATURE REPRESENTATION; FEATURE SPACE; MULTI-LABEL; NETWORK STRUCTURES; NODES AND LINKS; RELATIONAL LEARNING; SOCIAL DIMENSIONS; SOCIAL MEDIA;

EID: 84862952966     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PASSAT/SocialCom.2011.134     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 7
    • 33846235190 scopus 로고    scopus 로고
    • Latent semantic analysis and Fiedler retrieval
    • DOI 10.1016/j.laa.2006.09.026, PII S0024379506004393
    • B. Hendrickson. Latent semantic analysis and Fiedler retrieval. Linear Algebra and Its Applications, 421:345-355, 2007. (Pubitemid 46096989)
    • (2007) Linear Algebra and Its Applications , vol.421 , Issue.SPEC. ISS. , pp. 345-355
    • Hendrickson, B.1
  • 10
    • 34249102504 scopus 로고    scopus 로고
    • Classification in networked data: A toolkit and a univariate case study
    • S. Macskassy and F. Provost. Classification in networked data: a toolkit and a univariate case study. Journal of Macnine Learning, 8:935-983, 2007. (Pubitemid 46798412)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 935-983
    • Macskassy, S.A.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.