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Volumn 21, Issue 2, 2006, Pages 284-296

Efficient computation of k-medians over data streams under memory constraints

Author keywords

Cluster; Data mining; Data streams; k medians

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; DATA MINING; DATA STORAGE EQUIPMENT; PROGRAM PROCESSORS;

EID: 33645936670     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-006-0284-5     Document Type: Article
Times cited : (3)

References (27)
  • 10
    • 0040748327 scopus 로고    scopus 로고
    • Data bubbles: Quality preserving performance boosting for hierarchical clustering
    • Markus M Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander. Data bubbles: Quality preserving performance boosting for hierarchical clustering. SIGMOD Rec., 2001, 30(2): 79-90.
    • (2001) SIGMOD Rec. , vol.30 , Issue.2 , pp. 79-90
    • Breunig, M.M.1    Kriegel, H.-P.2    Kröger, P.3    Sander, J.4
  • 14
    • 79953236929 scopus 로고    scopus 로고
    • False positive or false negative: Mining frequent itemsets from high speed transactional data streams
    • Toronto, Canada
    • Jeffrey Xu Yu, Zhihong Chong, Hongjun Lu, Aoying Zhou. False positive or false negative: Mining frequent itemsets from high speed transactional data streams. In VLDB'04: Proc. the 30th Int. Conf. Very Large Data Bases, Toronto, Canada, 2004, pp.204-215.
    • (2004) VLDB'04: Proc. the 30th Int. Conf. Very Large Data Bases , pp. 204-215
    • Yu, J.X.1    Chong, Z.2    Lu, H.3    Zhou, A.4
  • 16
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Stat. and Prob, University of California Press
    • MacQueen J. Some methods for classification and analysis of multivariate observations. In Proc. 5th Berkeley Symposium on Math, Stat. and Prob, University of California Press, 1967, pp.281-297.
    • (1967) Proc. 5th Berkeley Symposium on Math , pp. 281-297
    • MacQueen, J.1
  • 20
    • 14344255219 scopus 로고    scopus 로고
    • Statistical grid-based clustering over data streams
    • Nam Hun Park, Won Suk Lee. Statistical grid-based clustering over data streams. SIGMOD Record, 2004, 33(1): 32-37.
    • (2004) SIGMOD Record , vol.33 , Issue.1 , pp. 32-37
    • Park, N.H.1    Lee, W.S.2
  • 24
    • 0000835955 scopus 로고    scopus 로고
    • Optimal gridclustering: Towards breaking the curse of dimensionality inhigh-dimensional clustering
    • Edinburgh, Scotland, UK
    • Alexander Hinneburg, Daniel A Keim. Optimal gridclustering: Towards breaking the curse of dimensionality inhigh-dimensional clustering. In VLDB'99: Proc. 25th Int. Conf. Very Large Data Bases, Edinburgh, Scotland, UK, 1999, pp.506-517,
    • (1999) VLDB'99: Proc. 25th Int. Conf. Very Large Data Bases , pp. 506-517
    • Hinneburg, A.1    Keim, D.A.2
  • 26
    • 0442289065 scopus 로고    scopus 로고
    • Survey of clustering data mining techniques
    • Accrue Software, San Jose, CA
    • Pavel Berkhin. Survey of clustering data mining techniques. Technical Report, Accrue Software, San Jose, CA, 2002. http://citeseer.nj.nec.com/ berkhin02survey.html
    • (2002) Technical Report
    • Berkhin, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.