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Volumn , Issue , 1996, Pages 347-350

Extraction of Spatial Proximity Patterns by Concept Generalization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; TEACHING;

EID: 33747516564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 2
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R.; Imielinski, T.; and Swami, A. 1993. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD, 207-216.
    • (1993) Proc. ACM SIGMOD , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 3
    • 0027621807 scopus 로고
    • Loading data into description reasoners
    • Borgida, A., and Brachman, R. 1993. Loading data into description reasoners. In Proc. ACM SIGMOD, 217-226.
    • (1993) Proc. ACM SIGMOD , pp. 217-226
    • Borgida, A.1    Brachman, R.2
  • 4
    • 84957712272 scopus 로고
    • Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification
    • Ester, M.; Kriegel, H.; and Xu, X. 1995. Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification. In Proc. 4th Int'l Symposium on Large Spatial Databases, 67-82.
    • (1995) Proc. 4th Int'l Symposium on Large Spatial Databases , pp. 67-82
    • Ester, M.1    Kriegel, H.2    Xu, X.3
  • 5
    • 0002738566 scopus 로고
    • Knowledge discovery in databases: an attribute-oriented approach
    • Han, J.; Cai, Y.; and Cercone, N. 1992. Knowledge discovery in databases: an attribute-oriented approach. In Proc. 18th VLDB, 547-559.
    • (1992) Proc. 18th VLDB , pp. 547-559
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 6
    • 0021426157 scopus 로고
    • Fast algorithms for finding nearest common ancestors
    • Harel, D., and Tarjan, R. 1984. Fast algorithms for finding nearest common ancestors. SIAM Journal on Computing 13~338-355.
    • (1984) SIAM Journal on Computing , vol.13 , pp. 338-355
    • Harel, D.1    Tarjan, R.2
  • 10
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Ng, R., and Han, J. 1994. Efficient and effective clustering methods for spatial data mining. In Proc. 20th VLDB, 144-155.
    • (1994) Proc. 20th VLDB , pp. 144-155
    • Ng, R.1    Han, J.2
  • 11
    • 0030157145 scopus 로고    scopus 로고
    • Birch: An efficient data clustering method for very large databases
    • Forthcoming
    • Zhang, T.; Ramakrishnan, R.; and Livny, M. 1996. Birch: An efficient data clustering method for very large databases. In Proc. ACM SIGMOD, Forthcoming.
    • (1996) Proc. ACM SIGMOD
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.