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Volumn 20, Issue , 2004, Pages 6-17

LDC: Enabling search by partial distance in a hyper-dimensional space

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; HYPER-DIMENSIONAL SPACE; K-NEAREST NEIGHBORS (KNN); LOCAL DIGITAL CODING (LDC);

EID: 2442615937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2004.1319980     Document Type: Conference Paper
Times cited : (37)

References (13)
  • 1
    • 0033897520 scopus 로고    scopus 로고
    • Independent quantization: An index compression technique for high-dimensional data spaces
    • S. Berchtold, C. Böhm, H. V. Jagadish, H.-P. Kriegel, and J. Sander. Independent quantization: An index compression technique for high-dimensional data spaces. In ICDE, pages 577-588, 2000.
    • (2000) ICDE , pp. 577-588
    • Berchtold, S.1    Böhm, C.2    Jagadish, H.V.3    Kriegel, H.-P.4    Sander, J.5
  • 2
    • 0032094513 scopus 로고    scopus 로고
    • The pyramid-technique: Towards breaking the curse of dimensionality
    • S. Berchtold, C. Böhm, and H.-P. Kriegel. The pyramid-technique: Towards breaking the curse of dimensionality. In SIGMOD, pages 142-153, 1998.
    • (1998) SIGMOD , pp. 142-153
    • Berchtold, S.1    Böhm, C.2    Kriegel, H.-P.3
  • 4
    • 0038670812 scopus 로고    scopus 로고
    • Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
    • C. Böhm, S. Berchtold, and D. Keim. Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys, pages 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
  • 5
    • 2442454378 scopus 로고    scopus 로고
    • Subquadratic algorithms for approximate clustering in high dimensional spaces
    • A. Borodin, R. Ostrofsky, and Y. Rabani. Subquadratic Algorithms for Approximate Clustering in High Dimensional Spaces. Proceedings of ACM STOC, 1999.
    • (1999) Proceedings of ACM STOC
    • Borodin, A.1    Ostrofsky, R.2    Rabani, Y.3
  • 6
    • 0005287692 scopus 로고    scopus 로고
    • Local dimensionality reduction: A new approach to indexing high dimensional spaces
    • K. Chakrabarti and S. Mehrotra. Local dimensionality reduction: A new approach to indexing high dimensional spaces. In VLDB, pages 89-100, 2000.
    • (2000) VLDB , pp. 89-100
    • Chakrabarti, K.1    Mehrotra, S.2
  • 7
    • 0036373391 scopus 로고    scopus 로고
    • Efficient k-NN search on vertically decomposed data
    • A.P. de Vries, N. Mamoulis, N. Nes, and M.L. Kersten. Efficient k-NN search on vertically decomposed data. In SIGMOD, pages 322-333, 2002.
    • (2002) SIGMOD , pp. 322-333
    • De Vries, A.P.1    Mamoulis, N.2    Nes, N.3    Kersten, M.L.4
  • 8
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • June
    • S. Guha, R. Rastogi, and K. Shim, CURE: An Efficient Clustering Algorithm for Large Databases. Proceedings of ACM SIGMOD, pages 73-84, June 1998.
    • (1998) Proceedings of ACM SIGMOD , pp. 73-84
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 9
    • 0345359234 scopus 로고    scopus 로고
    • An adaptive and efficient dimensionality reduction algorithm for high-dimensional indexing
    • H. Jin, B.C. Ooi, H.T. Shen, C. Yu, and A. Zhou. An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing. In ICDE, pages 87-98, 2003.
    • (2003) ICDE , pp. 87-98
    • Jin, H.1    Ooi, B.C.2    Shen, H.T.3    Yu, C.4    Zhou, A.5
  • 10
    • 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. In VLDB, pages 516-526, 2000.
    • (2000) VLDB , pp. 516-526
    • Sakurai, Y.1    Yoshikawa, M.2    Uemura, S.3    Kojima, H.4
  • 11
    • 0012951952 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity search methods in high dimensional spaces
    • R. Weber, H. Schek, and S. Blott. A quantitative analysis and performance study for similarity search methods in high dimensional spaces. In VLDB, pages 194-205, 1998.
    • (1998) VLDB , pp. 194-205
    • Weber, R.1    Schek, H.2    Blott, S.3
  • 12
    • 84944319598 scopus 로고    scopus 로고
    • Indexing the distance: An efficient method to KNN processing
    • C. Yu, B.C. Ooi, K.L. Tan, and H. V. Jagadish. Indexing the distance: An efficient method to KNN processing. In VLDB, pages 166-174, 2001.
    • (2001) VLDB , pp. 166-174
    • Yu, C.1    Ooi, B.C.2    Tan, K.L.3    Jagadish, H.V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.