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Volumn 28, Issue 1, 2007, Pages 23-36

Towards a new approach for mining frequent itemsets on data stream

Author keywords

Approximate answer; Data streams; Frequent itemsets

Indexed keywords

DATA STRUCTURES; KNOWLEDGE REPRESENTATION; PROBLEM SOLVING;

EID: 33846965592     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-006-0002-3     Document Type: Article
Times cited : (25)

References (12)
  • 2
    • 0141652197 scopus 로고    scopus 로고
    • Multidimensional regression analysis of time-series data streams
    • Chen, Y., Dong, G., Han, J., Wah, B.W., & Wang, J. (2002). Multidimensional regression analysis of time-series data streams. In VLDB Conference.
    • (2002) VLDB Conference
    • Chen, Y.1    Dong, G.2    Han, J.3    Wah, B.W.4    Wang, J.5
  • 5
    • 10044238664 scopus 로고    scopus 로고
    • Mining frequent patterns in data streams at multiple time granularities
    • New York: MIT
    • Giannella, G., Han, J., Pei, J., Yan, X., & Yu, P. (2003). Mining frequent patterns in data streams at multiple time granularities. In Next generation data mining. New York: MIT.
    • (2003) Next generation data mining
    • Giannella, G.1    Han, J.2    Pei, J.3    Yan, X.4    Yu, P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.