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Volumn 29, Issue , 2012, Pages 104-113

Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps

Author keywords

Clustering; Frequent pattern mining; Self organizing maps; Social networks; Trends

Indexed keywords

CLUSTERING; FREQUENT PATTERN MINING; SELF ORGANIZING; SOCIAL NETWORKS; TRENDS;

EID: 84857365871     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.07.003     Document Type: Conference Paper
Times cited : (28)

References (21)
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  • 12
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    • Cottrell, M.1    Rousset, P.2
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    • ReDSOM: Relative density visualization of temporal changes in cluster structures using self-organizing maps
    • IEEE Computer Society
    • Denny, G.J. Williams, and P. Christen ReDSOM: relative density visualization of temporal changes in cluster structures using self-organizing maps IEEE International Conference on Data Mining (ICDM) 2008 IEEE Computer Society 173 182
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.