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Volumn 25, Issue 1, 2006, Pages 95-115

A holistic approach for resource-aware adaptive data stream mining

Author keywords

Clustering and data streams; Resource aware computing

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTATIONAL METHODS; CONSTRAINT THEORY; DATA FLOW ANALYSIS; INFORMATION DISSEMINATION; RESOURCE ALLOCATION;

EID: 33846312507     PISSN: 02883635     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00354-006-0005-1     Document Type: Article
Times cited : (22)

References (11)
  • 1
  • 4
  • 10
    • 2942622417 scopus 로고    scopus 로고
    • Resource-aware Mining with Variable Granularities in Data Streams
    • Teng, W., Chen, M. and Yu, P.S., "Resource-aware Mining with Variable Granularities in Data Streams," in Proc. of SIAM SDM, 2004.
    • (2004) Proc. of SIAM SDM
    • Teng, W.1    Chen, M.2    Yu, P.S.3
  • 11
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An Efficient Data Clustering Method for Very Large Databases
    • June
    • Zhang, T., Ramakrishnan, R. and Livny, M., "BIRCH: An Efficient Data Clustering Method for Very Large Databases," ACM SIGMOD Record, 25, 2, June, 1996.
    • (1996) ACM SIGMOD Record , vol.25 , pp. 2
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.