메뉴 건너뛰기




Volumn , Issue , 2009, Pages 799-811

A revised R*-tree in comparison with related index structures

Author keywords

Choosesubtree; Hilbert r tree; Index structures; Multi dimensional data; Performance comparison; R tree; Revised r z.ast; tree; Rr z.ast; tree; Split

Indexed keywords

DATA DISTRIBUTION; EXPERIMENTAL COMPARISON; EXPERIMENTAL SETUP; HIGHER-DIMENSIONAL; HILBERT; INDEX STRUCTURE; MULTI-DIMENSIONAL DATASETS; MULTIDIMENSIONAL DATA; R-TREE INDEX STRUCTURE; REAL DATA SETS; SEARCH PERFORMANCE; SINGLE PATH; SPLIT ALGORITHMS; SUBSTANTIAL REDUCTION; SUBTREES; THREE-DIMENSIONAL DATA;

EID: 70849126056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1559845.1559929     Document Type: Conference Paper
Times cited : (78)

References (32)
  • 1
    • 3142660423 scopus 로고    scopus 로고
    • The priority R-Tree: A practically efficient and worst-case optimal R-Tree
    • L. Arge, M. Berg, H. Haverkort, K. Yi: The Priority R-Tree: A Practically Efficient and Worst-Case Optimal R-Tree. SIGMOD Conference 2004: 347-358
    • (2004) SIGMOD Conference , pp. 347-358
    • Arge, L.1    Berg, M.2    Haverkort, H.3    Yi, K.4
  • 2
    • 0038670812 scopus 로고    scopus 로고
    • Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
    • C. Böhm, S. Berchtold, D. Keim: Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys 33(3): 322-373 (2001).
    • (2001) ACM Computing Surveys , vol.33 , Issue.3 , pp. 322-373
    • Böhm, C.1    Berchtold, S.2    Keim, D.3
  • 3
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • J. L. Bentley: Multidimensional Binary Search Trees Used for Associative Searching. Commun. ACM 18(9): 509-517 (1975).
    • (1975) Commun. ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 5
    • 0001802606 scopus 로고    scopus 로고
    • The X-tree : An index structure for high-dimensional data
    • S. Berchtold, D. Keim, H.-P. Kriegel: The X-tree : An Index Structure for High-Dimensional Data. VLDB Conference 1996: 28-39.
    • (1996) VLDB Conference , pp. 28-39
    • Berchtold, S.1    Keim, D.2    Kriegel, H.-P.3
  • 6
    • 0025447750 scopus 로고
    • The R*-Tree: An efficient and robust access method for points and rectangles
    • N. Beckmann, H.-P. Kriegel, R. Schneider, B. Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles. SIGMOD Conference 1990: 322-331.
    • (1990) SIGMOD Conference , pp. 322-331
    • Beckmann, N.1    Kriegel, H.-P.2    Schneider, R.3    Seeger, B.4
  • 7
    • 84994175813 scopus 로고    scopus 로고
    • A generic approach to bulk loading multidimensional index structures
    • J. van den Bercken, B. Seeger, P. Widmayer: A Generic Approach to Bulk Loading Multidimensional Index Structures. VLDB 1997: 406-415.
    • (1997) VLDB , pp. 406-415
    • Van Den Bercken, J.1    Seeger, B.2    Widmayer, P.3
  • 8
    • 70849097622 scopus 로고    scopus 로고
    • Bureau of the Census: Tiger/Line Precensus Files: 1995 technical documentation, Bureau of the Census, Washington DC 1996
    • Bureau of the Census: Tiger/Line Precensus Files: 1995 technical documentation, Bureau of the Census, Washington DC 1996.
  • 10
    • 0032664793 scopus 로고    scopus 로고
    • The hybrid tree: An index structure for high dimensional feature spaces
    • K. Chakrabarti, S. Mehrotra. The hybrid tree: An index structure for high dimensional feature spaces. ICDE 1999: 440-447.
    • (1999) ICDE , pp. 440-447
    • Chakrabarti, K.1    Mehrotra, S.2
  • 11
    • 0345826313 scopus 로고    scopus 로고
    • Efficient concurrency control in multidimensional access methods
    • K. Chakrabarti, S. Mehrotra: Efficient Concurrency Control in Multidimensional Access Methods. SIGMOD Conference 1999: 25-36.
    • (1999) SIGMOD Conference , pp. 25-36
    • Chakrabarti, K.1    Mehrotra, S.2
  • 12
    • 70849098427 scopus 로고    scopus 로고
    • http://www.mathematik.uni-marburg.de/~seeger/rrstar/, 2009.
    • (2009)
  • 13
    • 0027983227 scopus 로고
    • Beyond uniformity and independence: Analysis of R-trees using the concept of fractal dimension
    • C. Faloutsos, I. Kamel: Beyond Uniformity and Independence: Analysis of R-trees Using the Concept of Fractal Dimension. PODS 1994: 4-13.
    • (1994) PODS , pp. 4-13
    • Faloutsos, C.1    Kamel, I.2
  • 15
    • 0021615874 scopus 로고
    • R-trees: A dynamic index structure for spatial searching
    • A. Guttman. R-trees: A dynamic index structure for spatial searching. SIGMOD Conference 1984: 47-57, 1984.
    • (1984) SIGMOD Conference 1984 , pp. 47-57
    • Guttman, A.1
  • 16
    • 0001548871 scopus 로고
    • Generalized search trees for database systems (extended abstract)
    • J. M. Hellerstein, J. F. Naughton, and A. Pfeffer. Generalized Search Trees for Database Systems (Extended Abstract). VLDB Conference 1995: 562-573.
    • (1995) VLDB Conference , pp. 562-573
    • Hellerstein, J.M.1    Naughton, J.F.2    Pfeffer, A.3
  • 17
    • 0002083198 scopus 로고
    • Benchmarking spatial join operations with spatial output
    • E. Hoel, H. Samet: Benchmarking Spatial Join Operations with Spatial Output. VLDB Conference 1995: 606-618.
    • (1995) VLDB Conference , pp. 606-618
    • Hoel, E.1    Samet, H.2
  • 18
    • 70849126973 scopus 로고    scopus 로고
    • IBM Informix Dynamic Server v10 Information Center, Feb.
    • IBM Informix R-tree Index, User's Guide, 2005. IBM Informix Dynamic Server v10 Information Center, Feb. 2009.
    • (2009) IBM Informix R-tree Index, User's Guide, 2005
  • 19
    • 0002842113 scopus 로고
    • Hilbert R-tree: An improved R-tree using fractals
    • I. Kamel, C. Faloutsos, "Hilbert R-tree: An Improved R-tree Using Fractals", VLDB Conference 1994: 500-509.
    • (1994) VLDB Conference , pp. 500-509
    • Kamel, I.1    Faloutsos, C.2
  • 21
    • 0036373393 scopus 로고    scopus 로고
    • Quadtree and R-tree indexes in oracle spatial: A comparison using GIS data
    • K. Kanth, S. Ravada, D. Abugov: Quadtree and R-tree Indexes in Oracle Spatial: A Comparison using GIS Data. SIGMOD Conference 2002.
    • (2002) SIGMOD Conference
    • Kanth, K.1    Ravada, S.2    Abugov, D.3
  • 23
    • 0031162081 scopus 로고    scopus 로고
    • The sr-tree: An index structure for high-dimensional nearest neighbor queries
    • N. Katayama and S. Satoh, The sr-tree: An index structure for high-dimensional nearest neighbor queries, SIGMOD Conference 1997: 369-380.
    • (1997) SIGMOD Conference , pp. 369-380
    • Katayama, N.1    Satoh, S.2
  • 25
    • 62349091241 scopus 로고    scopus 로고
    • MySQL 5.0 Reference Manual, http://downloads.mysql.com/docs/refman-5.0- en.a4.pdf, 2008.
    • (2008) MySQL 5.0 Reference Manual
  • 28
    • 0027875582 scopus 로고
    • Towards an analysis of range query performance in spatial data structures
    • B.-U. Pagel, H.-W. Six, H. Toben, P. Widmayer: Towards an Analysis of Range Query Performance in Spatial Data Structures. PODS 1993: 214-221.
    • (1993) PODS , pp. 214-221
    • Pagel, B.-U.1    Six, H.-W.2    Toben, H.3    Widmayer, P.4
  • 29
    • 0029206525 scopus 로고
    • Window query- optimal clustering of spatial objects
    • B.-U. Pagel, H.-W. Six, M. Winter: Window Query- Optimal Clustering of Spatial Objects. PODS 1995: 86-94.
    • (1995) PODS , pp. 86-94
    • Pagel, B.-U.1    Six, H.-W.2    Winter, M.3
  • 30
    • 0344775426 scopus 로고    scopus 로고
    • The A-tree: An index structure for high-dimensional spaces using relative approximation
    • Y. Sakurai, M. Yoshikawa, S. Uemura, and H. Kojima: "The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation", VLDB Conference 2000: 516--526.
    • (2000) VLDB Conference , pp. 516-526
    • Sakurai, Y.1    Yoshikawa, M.2    Uemura, S.3    Kojima, H.4
  • 32
    • 70849119062 scopus 로고    scopus 로고
    • SpatialWare extends microsoft SQL server capabilities
    • J. Weinberger: SpatialWare Extends Microsoft SQL Server Capabilities. MapInfo Magazine 6(2), 2001
    • (2001) MapInfo Magazine , vol.6 , Issue.2
    • Weinberger, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.