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Volumn 3181, Issue , 2004, Pages 209-218

SCLOPE: An algorithm for clustering data streams of categorical attributes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLUSTER ANALYSIS; DATA COMMUNICATION SYSTEMS; DATA WAREHOUSES;

EID: 35048881070     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30076-2_21     Document Type: Article
Times cited : (19)

References (15)
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    • Yang, Y., Guan, X., You, J.: CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data. In: Proc. SIGKDD, Edmonton, Canada (2002)
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  • 4
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    • A Framework for Clustering Evolving Data Streams
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  • 5
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    • Mining Frequent Patterns without Candidate Generation
    • Dallas, Texas, USA
    • J. Han and J. Pei and Y. Yin: Mining Frequent Patterns without Candidate Generation. In: Proc. SIGMOD, Dallas, Texas, USA (2000)
    • (2000) Proc. SIGMOD
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 6
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining
    • Santiago de Chile, Chile
    • Ng, R., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining. In: Proc. VLDB, Santiago de Chile, Chile (1994)
    • (1994) Proc. VLDB
    • Ng, R.1    Han, J.2
  • 7
    • 0032652570 scopus 로고    scopus 로고
    • ROCK: A Robust Clustering Algorithm for Categorical Attributes
    • Sydney, Austrialia
    • Guha, S., Rastogi, R., Shim, K.: ROCK: A Robust Clustering Algorithm for Categorical Attributes. In: Proc. ICDE, Sydney, Austrialia (1999)
    • (1999) Proc. ICDE
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 8
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    • Clustering Transactions Using Large Items
    • Kansas City, Missouri, USA
    • Wang, K., Xu, C., Liu, B.: Clustering Transactions Using Large Items. In: Proc. CIKM, Kansas City, Missouri, USA (1999)
    • (1999) Proc. CIKM
    • Wang, K.1    Xu, C.2    Liu, B.3
  • 10
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: AN Efficient Data Clustering Method for Very Large Databases
    • Canada
    • Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: AN Efficient Data Clustering Method for Very Large Databases. In: Proc. SIGMOD, Canada (1996)
    • (1996) Proc. SIGMOD
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 11
    • 0032090765 scopus 로고    scopus 로고
    • Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    • Seattle, Washington, USA
    • Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. In: Proc. SIGMOD, Seattle, Washington, USA (1998)
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    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 12
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    • CACTUS: Clustering Categorical Data Using Summaries
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    • Ganti, V., Gehrke, J., Ramakrishnan, R.: CACTUS: Clustering Categorical Data Using Summaries. In: Proc. SIGKDD, San Diego, California, USA (1999)
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    • Ganti, V.1    Gehrke, J.2    Ramakrishnan, R.3
  • 13
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    • Gibson, D., Kleinberg, J.M., Raghavan, P.: Clustering Categorical Data: An Approach Based on Dynamical Systems. In: Proc. VLDB, New York, USA (1998)
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    • Gibson, D.1    Kleinberg, J.M.2    Raghavan, P.3
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    • Requirements for Clustering Data Streams
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.