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Volumn 4, Issue , 2009, Pages 275-277

A density-based clustering over evolving heterogeneous data stream

Author keywords

Data stream; Density based clustering

Indexed keywords

A-DENSITY; ARBITRARY SHAPE; CLUSTERING DATA; DATA STREAM; DATA STREAM CLUSTERING; DATA STREAM MINING; HETEROGENEOUS DATA; HETEROGENEOUS FEATURES; THEORETIC ANALYSIS;

EID: 70449747527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCM.2009.5267735     Document Type: Conference Paper
Times cited : (22)

References (10)
  • 2
    • 0038633423 scopus 로고    scopus 로고
    • Clustering Data Stream:Theory and Practice
    • Guha S, Meyerson A, Mishra N, et al, "Clustering Data Stream:Theory and Practice", IEEE Trans. Knowl. Data Eng, VOL.15, NO.3, 2003, pp. 515-528.
    • (2003) IEEE Trans. Knowl. Data Eng , vol.15 , Issue.3 , pp. 515-528
    • Guha, S.1    Meyerson, A.2    Mishra, N.3
  • 4
    • 70449785664 scopus 로고    scopus 로고
    • Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems, 40th
    • Jain K, Vazirani V, "Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems", 40th FOCS, 1996, pp.1-10.
    • (1996) FOCS , pp. 1-10
    • Jain, K.1    Vazirani, V.2
  • 5
    • 0032606506 scopus 로고    scopus 로고
    • Improved Combinatorial Algorithms for the Facility Location and k-Median Problems, 40th
    • M. Charikar, S. Guha, "Improved Combinatorial Algorithms for the Facility Location and k-Median Problems", 40th FOCS, 1999, pp.378-388.
    • (1999) FOCS , pp. 378-388
    • Charikar, M.1    Guha, S.2
  • 6
    • 85012236181 scopus 로고    scopus 로고
    • A framework for clustering evolving data streams
    • C. C. Aggarwal, J. Han, J. Wang, and P. Yu, "A framework for clustering evolving data streams", VLDB, 2003, pp.81-92.
    • (2003) VLDB , pp. 81-92
    • Aggarwal, C.C.1    Han, J.2    Wang, J.3    Yu, P.4
  • 7
    • 85136074496 scopus 로고    scopus 로고
    • A framework for projected clustering of high dimensional data streams
    • C. C. Aggarwal, J. Han, J. Wang, and P. Yu, "A framework for projected clustering of high dimensional data streams", VLDB, 2004, pp.852-863.
    • (2004) VLDB , pp. 852-863
    • Aggarwal, C.C.1    Han, J.2    Wang, J.3    Yu, P.4
  • 8
    • 33745434639 scopus 로고    scopus 로고
    • Density-based clustering over an evolving data stream with noise
    • F. Cao, M. Ester, W. Qian, A. Zhou, "Density-based clustering over an evolving data stream with noise", SIAM Conference on Data Mining, 2006, pp.326-337.
    • (2006) SIAM Conference on Data Mining , pp. 326-337
    • Cao, F.1    Ester, M.2    Qian, W.3    Zhou, A.4
  • 10
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An Efficient Data Clustering Method for Very Large Databases
    • T. Zhang, R. Ramakrishnan, M. Livny, "BIRCH: An Efficient Data Clustering Method for Very Large Databases", ACM SIGMOD Conference, 1996, pp.103-113.
    • (1996) ACM SIGMOD Conference , pp. 103-113
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.