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Volumn 3363 LNCS, Issue , 2005, Pages 158-172

When is nearest neighbors indexable?

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY NUMBER; CROSS-OVER; DATA DISTRIBUTION; DATA POINTS; DATA SETS; INDEX STRUCTURE; MULTI-DIMENSIONAL INDEX STRUCTURES; NEAREST NEIGHBORS; R-TREES; X-TREES;

EID: 77049127103     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30570-5_11     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
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    • The R*-Tree: An Effi-cient and Robust Access Method for Points and Rectangles. Proc
    • Beckmann, N., Kriegel H.-P., Schneider, R. and Seeger, B.: The R*-Tree: An Effi-cient and Robust Access Method for Points and Rectangles. Proc. SIGMOD (1992) 322-331
    • (1992) SIGMOD , pp. 322-331
    • Beckmann, N.1    Kriegel, H.-P.2    Schneider, R.3    Seeger, B.4
  • 2
    • 0037870443 scopus 로고    scopus 로고
    • The x-tree : An Index Structure for High-Dimensional Data. Proc
    • Berchtold, S., Keim, D. A. and Kriegel H.-P.: The x-tree : An Index Structure for High-Dimensional Data. Proc. VLDB (1996) 28-39
    • (1996) VLDB , pp. 28-39
    • Berchtold, S.1    Keim, D.A.2    Kriegel, H.-P.3
  • 3
    • 77049117243 scopus 로고    scopus 로고
    • Beyer, K., Goldstein, J., Ramakrishnan, R. and Shaft, U.: When Is Nearest Neighbors Meaningful? Proc. ICDT (1999)
    • Beyer, K., Goldstein, J., Ramakrishnan, R. and Shaft, U.: When Is Nearest Neighbors Meaningful? Proc. ICDT (1999)
  • 4
    • 15044355327 scopus 로고    scopus 로고
    • Similarity search in high dimensions via hashing. Proc
    • Gionis, A., Indyk, P. and Motwani, R.: Similarity search in high dimensions via hashing. Proc. VLDB (1999) 518-529
    • (1999) VLDB , pp. 518-529
    • Gionis, A.1    Indyk, P.2    Motwani, R.3
  • 5
    • 77049124473 scopus 로고    scopus 로고
    • Goldstein, J.: mproved Query Processing and Data Representation Techniques. Ph.D. Thesis, Univ. of Wisconsin-Madison (1999)
    • Goldstein, J.: mproved Query Processing and Data Representation Techniques. Ph.D. Thesis, Univ. of Wisconsin-Madison (1999)
  • 6
    • 0021615874 scopus 로고
    • R-Trees: A Dynamic Index Structure for Spatial Searching. Proc
    • Guttman, A." R-Trees: A Dynamic Index Structure for Spatial Searching. Proc. SIGMOD (1984) 47-57
    • (1984) SIGMOD , pp. 47-57
    • Guttman, A.1
  • 8
    • 0031162081 scopus 로고    scopus 로고
    • The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries. Proc
    • Katayama, N.,and Satoh, S.: The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries. Proc. SIGMOD (1997) 369-380
    • (1997) SIGMOD , pp. 369-380
    • Katayama, N.1    Satoh, S.2
  • 10
    • 85010847034 scopus 로고
    • The K-D-B Tree: A Search Structure for Large Multi-dimensional Dynamic Indexes. Proc
    • Robinson, J. T.: The K-D-B Tree: A Search Structure for Large Multi-dimensional Dynamic Indexes. Proc. SIGMOD (1981) 10-18
    • (1981) SIGMOD , pp. 10-18
    • Robinson, J.T.1
  • 11
    • 2442431247 scopus 로고
    • The R+-Tree: A Dynamic Index for Multi-Dimensional Objects. Proc
    • Sellis, T. K., Roussopoulos, N. and Faloutsos, C.: The R+-Tree: A Dynamic Index for Multi-Dimensional Objects. Proc. VLDB (1987) 507-518
    • (1987) VLDB , pp. 507-518
    • Sellis, T.K.1    Roussopoulos, N.2    Faloutsos, C.3
  • 14
    • 0029752929 scopus 로고    scopus 로고
    • Similarity Indexing with the SS-tree. Proc
    • White, D. A. and Jain R. C.: Similarity Indexing with the SS-tree. Proc. ICDE (1996) 516-523
    • (1996) ICDE , pp. 516-523
    • White, D.A.1    Jain, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.