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Volumn 26, Issue 2, 1997, Pages 369-380

The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; MATHEMATICAL TECHNIQUES; TREES (MATHEMATICS);

EID: 0031162081     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/253262.253347     Document Type: Article
Times cited : (682)

References (16)
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  • 4
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  • 5
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    • Ann Arbor, USA, Apr.
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    • (1981) Proc. ACM SIGMOD , pp. 10-18
    • Robinson, J.T.1
  • 8
    • 0021615874 scopus 로고
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    • Boston, USA, Jun.
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    • Guttman, A.1
  • 9
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    • San Diego, USA, Jan.
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    • White, D.A.1    Jain, R.2
  • 10
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    • Multidimensional Binary Search Trees Used for Associative Searching
    • Sep.
    • J. L. Bentley, "Multidimensional Binary Search Trees Used for Associative Searching," Comm. of the ACM, Vol.18, No.9, pp.509-517, Sep. 1975.
    • (1975) Comm. of the ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 11
    • 0025796458 scopus 로고
    • Refinements to Nearest-Neighbor Searching in k-Dimensional Trees
    • R. Sproull, "Refinements to Nearest-Neighbor Searching in k-Dimensional Trees," Algorithmica, Vol.6, No.4, pp.579-589, 1991.
    • (1991) Algorithmica , vol.6 , Issue.4 , pp. 579-589
    • Sproull, R.1
  • 12
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    • The TV-tree: An Index Structure for High-Dimensional Data
    • K.-I. Lin, H. V. Jagadish, and C. Faloutsos, "The TV-tree: An Index Structure for High-Dimensional Data," VLDB Journal, Vol. 3, No. 4, pp.517-542, 1994.
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  • 13
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    • The X-tree: An Index Structure for High-Dimensional Data
    • Bombay, India, Sep.
    • S. Berchtold, D. A. Keim, and H.-P. Kriegel, "The X-tree: An Index Structure for High-Dimensional Data," Proc. of the 22nd VLDB Conf., Bombay, India, pp.28-39, Sep. 1996.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.