메뉴 건너뛰기




Volumn , Issue , 2005, Pages 81-88

CDS-Tree: An effective index for clustering arbitrary shapes in data streams

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES;

EID: 27144549848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 3
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • R. T. Ng and J. Han. Efficient and Effective Clustering Methods for Spatial Data Mining. In Proceedings of the 20th VLDB Conference, 1994, pp. 144-155.
    • (1994) Proceedings of the 20th VLDB Conference , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 4
    • 0032686723 scopus 로고    scopus 로고
    • CHAMELEON: A hierarchical clustering algorithm using dynamic modeling
    • G. Karypis, E.-H. Han, and V. Kumar. CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. COMPUTER, 32:68-75,1999.
    • (1999) COMPUTER , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 5
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • Seattle, WA
    • S. Guha, R. Rastogi, and K. Shim. CURE: An efficient clustering algorithm for large databases. In Proc. SIGMOD, Seattle, WA, 1998, pp. 73-84.
    • (1998) Proc. SIGMOD , pp. 73-84
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 6
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Montreal, Canada, June
    • T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: An efficient data clustering method for very large databases. In proc. 1996 ACM SIGMOD, Montreal, Canada, June 1996, pp. 103-114.
    • (1996) Proc. 1996 ACM SIGMOD , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 7
    • 85170282443 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases
    • Portland OR, USA
    • M. Ester, H. P. Kriegel, J. Sander, X. Xu,. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases. Proc. of KDD Conf., Portland OR, USA, 1996, pp. 226-231.
    • (1996) Proc. of KDD Conf. , pp. 226-231
    • Ester, M.1    Kriegel, H.P.2    Sander, J.3    Xu, X.4
  • 8
  • 11
    • 1142293244 scopus 로고    scopus 로고
    • Maintaining variance and k-medians over data stream windows
    • San Diego, California
    • B. Babcock, M. Datar, R. Motwani, L. O'Callaghan. Maintaining Variance and k-Medians over Data Stream Windows. Proc. of PODS 2003, San Diego, California, 2003, pp. 234-243.
    • (2003) Proc. of PODS 2003 , pp. 234-243
    • Babcock, B.1    Datar, M.2    Motwani, R.3    O'Callaghan, L.4
  • 12
    • 85012236181 scopus 로고    scopus 로고
    • A framework for clustering evolving data streams
    • Berlin, Germany
    • C. C. Aggarwal, J. Han, J. Wang, P. S. Yu. A Framework for Clustering Evolving Data Streams. Proc. of VLDB 2003, Berlin, Germany, 2003, pp. 81-92.
    • (2003) Proc. of VLDB 2003 , pp. 81-92
    • Aggarwal, C.C.1    Han, J.2    Wang, J.3    Yu, P.S.4
  • 13
    • 0025447750 scopus 로고
    • The R*-tree: An efficient and robust access method for points and rectangles
    • Atlantic City, NJ
    • N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger. The R*-tree: An Efficient and Robust Access Method for Points and Rectangles. Proc. of ACM SIGMOD 1990 Conf., Atlantic City, NJ, 1990, pp. 322-331.
    • (1990) Proc. of ACM SIGMOD 1990 Conf. , pp. 322-331
    • Beckmann, N.1    Kriegel, H.-P.2    Schneider, R.3    Seeger, B.4
  • 14
    • 0001802606 scopus 로고    scopus 로고
    • The X-tree: An index structure for high-dimensional data
    • Bombay, India
    • S. Berchtold, D. A. Keim and H. Kriegel. The X-tree: An Index Structure for High-Dimensional Data. Proc. of the 22nd VLDB Conf. Bombay, India, 1996, pp. 28-39.
    • (1996) Proc. of the 22nd VLDB Conf. , pp. 28-39
    • Berchtold, S.1    Keim, D.A.2    Kriegel, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.