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Volumn 3, Issue , 2006, Pages 2672-2677

Efficient maintenance and mining of frequent itemsets over online data streams with a sliding window

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STORAGE EQUIPMENT; ONLINE SYSTEMS;

EID: 34548128868     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2006.385267     Document Type: Conference Paper
Times cited : (13)

References (20)
  • 4
    • 3042644650 scopus 로고    scopus 로고
    • Decaying Obsolete Information in Finding Recent Frequent Itemsets over Data Stream
    • June
    • J. Chang and W. Lee. Decaying Obsolete Information in Finding Recent Frequent Itemsets over Data Stream. IEICE Transaction on Information and Systems, Vol. E87-D, No. 6, June, 2004.
    • (2004) IEICE Transaction on Information and Systems , vol.E87-D , Issue.6
    • Chang, J.1    Lee, W.2
  • 5
    • 3142639461 scopus 로고    scopus 로고
    • J. Chang and W. Lee. A Sliding Window Method for Finding Recently Frequent Itemsets over Online Data Streams. Journal of Information Science and Engineering, 20, No.4, July, 2004.
    • J. Chang and W. Lee. A Sliding Window Method for Finding Recently Frequent Itemsets over Online Data Streams. Journal of Information Science and Engineering, Vol. 20, No.4, July, 2004.
  • 7
    • 34548138059 scopus 로고    scopus 로고
    • C. Giannella, J. Han, J. Pei, X. Yan, and P.S. Yu. Mining Frequent Patterns in Data Streams at Multiple Time Granularities. In Data Mining: Next Generation Challenges and Future Directions, AAAI/MIT, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), 2003.
    • C. Giannella, J. Han, J. Pei, X. Yan, and P.S. Yu. Mining Frequent Patterns in Data Streams at Multiple Time Granularities. In Data Mining: Next Generation Challenges and Future Directions, AAAI/MIT, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), 2003.
  • 8
    • 2442617843 scopus 로고    scopus 로고
    • Issues in Data Stream Management
    • June
    • L. Golab and M. T. Özsu. Issues in Data Stream Management. ACM SIGMOD Record, 32(2): 5-14, June, 2003.
    • (2003) ACM SIGMOD Record , vol.32 , Issue.2 , pp. 5-14
    • Golab, L.1    Özsu, M.T.2
  • 10
    • 33644920942 scopus 로고    scopus 로고
    • Research Issues in Data Stream Association Rule Mining
    • Mar
    • N. Jiang, and L. Gruenwald. Research Issues in Data Stream Association Rule Mining. In SIGMOD Record, Vol. 35, No. 1, Mar. 2006.
    • (2006) SIGMOD Record , vol.35 , Issue.1
    • Jiang, N.1    Gruenwald, L.2
  • 18
    • 84880100631 scopus 로고    scopus 로고
    • R.C.W. Wong, and A. Fu. Mining Top-K Itemsets over a Sliding Window Based on Zipfian Distribution. In Proceedings of 2005 SIAM International Conference on Data Mining, 2005.
    • R.C.W. Wong, and A. Fu. Mining Top-K Itemsets over a Sliding Window Based on Zipfian Distribution. In Proceedings of 2005 SIAM International Conference on Data Mining, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.