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Volumn 12, Issue 5, 2000, Pages 715-728

An approach to active spatial data mining based on statistical information

Author keywords

Active data mining; Incremental trigger evaluation; Spatial data mining; Spatial databases

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA HANDLING; DATA STRUCTURES; INFORMATION RETRIEVAL; QUERY LANGUAGES;

EID: 0034264731     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/69.877504     Document Type: Article
Times cited : (25)

References (21)
  • 12
    • 0030383106 scopus 로고    scopus 로고
    • Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining
    • E.M. Knorr and R.T. Ng, "Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining," IEEE Trans. Knowledge and Data Eng., vol. 8, no. 6, pp. 884-897, 1996.
    • (1996) IEEE Trans. Knowledge and Data Eng. , vol.8 , Issue.6 , pp. 884-897
    • Knorr, E.M.1    Ng, R.T.2
  • 17
    • 84994158589 scopus 로고    scopus 로고
    • STING: A Statistical Information Grid Approach to Spatial Data Mining
    • W. Wang, J. Yang, and R. Muntz, "STING: A Statistical Information Grid Approach to Spatial Data Mining," Proc. 23rd Int'l Conf. Very Large Data Bases (VLDB), pp. 186-195, 1997. http://dml.cs.ucla.edu/∼weiwang/paper/VLDB97.ps.
    • (1997) Proc. 23rd Int'l Conf. Very Large Data Bases (VLDB) , pp. 186-195
    • Wang, W.1    Yang, J.2    Muntz, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.