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Volumn , Issue , 2008, Pages 582-587

MovStream: An efficient algorithm for monitoring clusters evolving in data streams

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA MINING;

EID: 57949108012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GRC.2008.4664715     Document Type: Conference Paper
Times cited : (9)

References (13)
  • 3
    • 0038633423 scopus 로고    scopus 로고
    • Clustering Data Streams: Theory and Practice
    • S. Guha, A. Meyerson, N. Mishra and R. Motwani.: Clustering Data Streams: Theory and Practice. IEEE Trans. on KDE, 15(3), pages 515-528, (2003)
    • (2003) IEEE Trans. on KDE , vol.15 , Issue.3 , pp. 515-528
    • Guha, S.1    Meyerson, A.2    Mishra, N.3    Motwani, R.4
  • 5
    • 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. ACM SIGMOD Conference, 1996
    • (1996) ACM SIGMOD Conference
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 6
    • 2942529195 scopus 로고    scopus 로고
    • GenIc: A Single Pass Generalized Incremental Algorithm for Clustering
    • C. Gupta and R. Grossman.: GenIc: A Single Pass Generalized Incremental Algorithm for Clustering. In SIAM Conference on Data Mining 2004
    • (2004) SIAM Conference on Data Mining
    • Gupta, C.1    Grossman, R.2
  • 7
    • 0034514004 scopus 로고    scopus 로고
    • S. Guha, N. Mishra, Motwani R and Challaghan LO': Clustering data stream. In Proc. of the 41st annual symposium on FOCS 2000, Redondo Beach, CA, Pages 359-366
    • S. Guha, N. Mishra, Motwani R and Challaghan LO': Clustering data stream. In Proc. of the 41st annual symposium on FOCS 2000, Redondo Beach, CA, Pages 359-366
  • 9
    • 57949115516 scopus 로고    scopus 로고
    • TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model
    • O. Nasraoui, C. Cardona, C. Rojas and F. Gonzalez.: TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model. ICDM 2003, pages 235-242
    • (2003) ICDM , pp. 235-242
    • Nasraoui, O.1    Cardona, C.2    Rojas, C.3    Gonzalez, F.4
  • 10
    • 33745434153 scopus 로고    scopus 로고
    • O. Nasraoui and C. Rojas.: Robust Clustering for Tracking Noisy Evolving Data Streams. SDM, 2006.
    • O. Nasraoui and C. Rojas.: Robust Clustering for Tracking Noisy Evolving Data Streams. SDM, 2006.
  • 11
    • 77952400167 scopus 로고    scopus 로고
    • Proceedings of the 8th ACM SIGMOD workshop on research issues in DMKD
    • C. Ordonez: Clustering binary data streams with k-means. In Proceedings of the 8th ACM SIGMOD workshop on research issues in DMKD 2003, pages 12-19.
    • (2003) Clustering binary data streams with k-means , pp. 12-19
    • Ordonez, C.1
  • 13
    • 57949094071 scopus 로고    scopus 로고
    • http://cs.scu.edu.cn/~tangliang/movstreampf.htm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.