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Volumn , Issue , 2002, Pages 43-50

High performance data mining using the nearest neighbor join

Author keywords

[No Author keywords available]

Indexed keywords


EID: 4444329743     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (27)
  • 11
    • 35248831250 scopus 로고    scopus 로고
    • The Similarity Join: A Powerful Database Primitive for High Performance Data Mining, tutorial
    • Böhm C.: The Similarity Join: A Powerful Database Primitive for High Performance Data Mining, tutorial, IEEE Int. Conf. on Data Engineering (ICDE), 2001.
    • IEEE Int. Conf. on Data Engineering (ICDE), 2001
    • Böhm, C.1
  • 25
    • 22044455069 scopus 로고    scopus 로고
    • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and its Applications
    • Kluwer Academic Publishers
    • Sander J., Ester M., Kriegel H.-P., Xu X.: Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and its Applications, Data Mining and Knowledge Discovery, Kluwer Academic Publishers, Vol. 2, No. 2, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.