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Volumn 4707 LNCS, Issue PART 3, 2007, Pages 821-833

Efficient methods in finding aggregate nearest neighbor by projection-based filtering

Author keywords

Aggregate nearest neighbor; Pruning strategies; Search region

Indexed keywords

ALGORITHMS; DATA MINING; DATA STRUCTURES; DISTRIBUTED COMPUTER SYSTEMS; OPTIMIZATION;

EID: 38349063599     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74484-9_70     Document Type: Conference Paper
Times cited : (19)

References (18)
  • 1
    • 84948992660 scopus 로고    scopus 로고
    • Papadopoulos, A., Manolopoulos, Y.: Performance of Nearest Neighbor Queries in R-Trees. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, 1186, pp. 394-408. Springer, Heidelberg (1996)
    • Papadopoulos, A., Manolopoulos, Y.: Performance of Nearest Neighbor Queries in R-Trees. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, vol. 1186, pp. 394-408. Springer, Heidelberg (1996)
  • 3
    • 85031999247 scopus 로고    scopus 로고
    • Guttman, A.: R-Trees: A Dynamic Index Structure for Spatial Searching. In: Proc. of ACM SIGMOD Int'l Conference, pp. 47-57 (1984)
    • Guttman, A.: R-Trees: A Dynamic Index Structure for Spatial Searching. In: Proc. of ACM SIGMOD Int'l Conference, pp. 47-57 (1984)
  • 4
    • 0034832620 scopus 로고    scopus 로고
    • Outlier Detection for High Dimensional Data
    • Aggarwal, C.C., Yu, P.S.: Outlier Detection for High Dimensional Data. In: SIGMOD Conference, pp. 37-46 (2001)
    • (2001) SIGMOD Conference , pp. 37-46
    • Aggarwal, C.C.1    Yu, P.S.2
  • 6
    • 23944510654 scopus 로고    scopus 로고
    • Aggregate nearest neighbor queries in spatial databases
    • Papadias, D., Tao, Y., Mouratidis, K., Hui, C.K.: Aggregate nearest neighbor queries in spatial databases. ACM Trans. Database Syst. 30(2), 529-576 (2005)
    • (2005) ACM Trans. Database Syst , vol.30 , Issue.2 , pp. 529-576
    • Papadias, D.1    Tao, Y.2    Mouratidis, K.3    Hui, C.K.4
  • 9
    • 0026256261 scopus 로고
    • Satisfying general proximity/ similary queries with metric trees
    • Uhlmann, J.K.: Satisfying general proximity/ similary queries with metric trees. Information Processing Letters 40, 175-179 (1991)
    • (1991) Information Processing Letters , vol.40 , pp. 175-179
    • Uhlmann, J.K.1
  • 12
    • 20844452621 scopus 로고    scopus 로고
    • Aggregate Nearest Neighbor Queries in Road Networks
    • Yiu, M.L., Mamoulis, N., Papadias, D.: Aggregate Nearest Neighbor Queries in Road Networks. IEEE Trans. Knowl. Data Eng. 17(6), 820-833 (2005)
    • (2005) IEEE Trans. Knowl. Data Eng , vol.17 , Issue.6 , pp. 820-833
    • Yiu, M.L.1    Mamoulis, N.2    Papadias, D.3
  • 13
    • 70350388446 scopus 로고    scopus 로고
    • M-tree: An efficient access method for similarity search in metric spaces
    • Athenes, Greece
    • Paolo Ciaccia, M.P., Zezula, P.: M-tree: An efficient access method for similarity search in metric spaces. In: Proceedings of the 23rd VLDB Conference, Athenes, Greece, 1997, pp. 357-368 (1997)
    • (1997) Proceedings of the 23rd VLDB Conference , pp. 357-368
    • Paolo Ciaccia, M.P.1    Zezula, P.2
  • 14
    • 24644479204 scopus 로고    scopus 로고
    • MB+Tree: A Dynamically Updatable Metric Index for Similarity Searches. Web.-Age
    • Ishikawa, M., Chen, H., Furuse, K., Yu, J.X., Ohbo, N.: MB+Tree: A Dynamically Updatable Metric Index for Similarity Searches. Web.-Age. Information Management, 356-373 (2000)
    • (2000) Information Management , vol.356-373
    • Ishikawa, M.1    Chen, H.2    Furuse, K.3    Yu, J.X.4    Ohbo, N.5
  • 17
    • 0002162263 scopus 로고
    • Near neighbor search in large metric spaces
    • Brin, S.: Near neighbor search in large metric spaces. In: Proceedings of the 21st VLDB Conference, pp. 574-584 (1995)
    • (1995) Proceedings of the 21st VLDB Conference , pp. 574-584
    • Brin, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.