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Volumn , Issue , 2011, Pages 1537-1542

Clustering algorithm for high dimensional data stream over sliding windows

Author keywords

clustering algorithm; data stream; exponential histogram; projected clustering; sliding window

Indexed keywords

CLUSTER FEATURE; DATA POINTS; DATA STREAM; DATA STREAM CLUSTERING; EXPONENTIAL HISTOGRAM; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL PROBLEMS; MEMORY USAGE; PROCESSING SPEED; PROJECTED CLUSTERING; REAL DATA SETS; SLIDING WINDOW; STREAM DATA; SYNTHETIC DATASETS;

EID: 84862916446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TrustCom.2011.213     Document Type: Conference Paper
Times cited : (16)

References (14)
  • 3
    • 43249088014 scopus 로고    scopus 로고
    • Tracking clusters in evolving data streams over sliding windows
    • Springer London
    • A. Zhou, F. Cao, W. Qian, and C. Jin, "Tracking clusters in evolving data streams over sliding windows," Knowledge and Information Systems, Springer London, 2008, 15(2), pp.181-214.
    • (2008) Knowledge and Information Systems , vol.15 , Issue.2 , pp. 181-214
    • Zhou, A.1    Cao, F.2    Qian, W.3    Jin, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.