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Volumn 4, Issue 2-3, 2000, Pages 193-216

Spatial data mining: Database primitives, algorithms and efficient DBMS support

Author keywords

Database primitives for KDD; Mining spatial data

Indexed keywords


EID: 23044519025     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (77)

References (16)
  • 3
  • 9
    • 84957645397 scopus 로고
    • Discovery of spatial association rules in geographic information databases
    • Portland, ME
    • Koperski, K. and Han, J. 1995. Discovery of spatial association rules in geographic information databases. In Proc. 4th Int. Symp. on Large Spatial Databases (SSD '95), Portland, ME, pp. 47-66.
    • (1995) Proc. 4th Int. Symp. on Large Spatial Databases (SSD '95) , pp. 47-66
    • Koperski, K.1    Han, J.2
  • 12
    • 0026677004 scopus 로고
    • Distance-associated join indices for spatial range search
    • Phoenix, AZ
    • Lu, W. and Han, J. 1992. Distance-associated join indices for spatial range search. In Proc. 8th Int. Conf. on Data Engineering, Phoenix, AZ, pp. 284-292.
    • (1992) Proc. 8th Int. Conf. on Data Engineering , pp. 284-292
    • Lu, W.1    Han, J.2
  • 13
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Santiago, Chile
    • Ng, R.T. and Han, J. 1994. Efficient and effective clustering methods for spatial data mining. In Proc. 20th Int. Conf. on Very Large Data Bases, Santiago, Chile, pp. 144-155.
    • (1994) Proc. 20th Int. Conf. on Very Large Data Bases , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 15
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: A new algorithm and its applications
    • Sander, J., Ester, M., Kriegel, H.-P, and Xu, X. 1998. Density-based clustering in spatial databases: A new algorithm and its applications. In Data Mining and Knowledge Discovery, 2(2).
    • (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.