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Volumn , Issue , 2009, Pages 102-113

A framework for clustering massive-domain data streams

Author keywords

[No Author keywords available]

Indexed keywords

CARD TRANSACTIONS; CLUSTERING METHODS; DATA STREAM; DISCRETE VALUES; HIGH PROBABILITY; STREAM OPERATIONS; THEORETICAL RESULT;

EID: 67649643458     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2009.13     Document Type: Conference Paper
Times cited : (28)

References (18)
  • 3
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    • A Framework for Clustering Massive Text and Categorical Data Streams
    • C. C. Aggarwal and P. S. Yu, "A Framework for Clustering Massive Text and Categorical Data Streams," in SIAM Conference on Data Mining, 2006.
    • (2006) SIAM Conference on Data Mining
    • Aggarwal, C.C.1    Yu, P.S.2
  • 7
    • 14844367057 scopus 로고    scopus 로고
    • An Improved Data-Stream Summary: The Count-min Sketch and its Applications
    • G. Cormode and S. Muthukrishnan, "An Improved Data-Stream Summary: The Count-min Sketch and its Applications," in Journal of Algorithms, 55(1), 2005.
    • (2005) Journal of Algorithms , vol.55 , Issue.1
    • Cormode, G.1    Muthukrishnan, S.2
  • 10
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An Efficient Clustering Algorithm for Large Databases
    • S. Guha, R. Rastogi, and K. Shim, "CURE: An Efficient Clustering Algorithm for Large Databases," in ACM SIGMOD Conference, 1998.
    • (1998) ACM SIGMOD Conference
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 11
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining
    • R. Ng and J. Han, "Efficient and Effective Clustering Methods for Spatial Data Mining," in Very Large Data Bases Conference, 1994.
    • (1994) Very Large Data Bases Conference
    • Ng, R.1    Han, J.2
  • 15
    • 35048881070 scopus 로고    scopus 로고
    • SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
    • K.-L. Ong, W. Li, W.-K. Ng, and E.-P. Lim, "SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes," in Lecture Notes in Computer Science, Vol 3181, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3181
    • Ong, K.-L.1    Li, W.2    Ng, W.-K.3    Lim, E.-P.4
  • 17
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An Efficient Data Clustering Method for Very Large Databases
    • T. Zhang, R. Ramakrishnan, and M. Livny, "BIRCH: An Efficient Data Clustering Method for Very Large Databases," in ACM SIGMOD Conference, 1996.
    • (1996) ACM SIGMOD Conference
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 18
    • 27744489908 scopus 로고    scopus 로고
    • Efficient Streaming Text Clustering
    • S. Zhong, "Efficient Streaming Text Clustering," in Neural Networks, Vol 5-6, 2005.
    • (2005) Neural Networks , vol.5-6
    • Zhong, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.