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Volumn 4, Issue , 2008, Pages 353-358

Mining recent frequent itemsets in data streams

Author keywords

[No Author keywords available]

Indexed keywords

DATA STREAMS; FREQUENT ITEM SETS; INFREQUENT ITEMS; MINIMUM SUPPORT THRESHOLDS; MINIMUM SUPPORTS; MINING FREQUENT ITEMSETS; RESEARCH TOPICS; SLIDING WINDOWS; SPACE USAGES;

EID: 58049205580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.255     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • MorganKaufmann
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Int'l Conf. on Very Large Databases, pages 487-499. MorganKaufmann, 1994.
    • (1994) Int'l Conf. on Very Large Databases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 18744361866 scopus 로고    scopus 로고
    • J. H. Chang and W. S. Lee. estwin: adaptively monitoring the recent change of frequent itemsets over online data streams. In CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management, pages 536-539, New York, NY, USA, 2003. ACM.
    • J. H. Chang and W. S. Lee. estwin: adaptively monitoring the recent change of frequent itemsets over online data streams. In CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management, pages 536-539, New York, NY, USA, 2003. ACM.
  • 5
    • 58049197746 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 In Proceedings of the NSF Workshop on Next Generation Data Mining, 2002.
    • C. Giannella, J. Han, J. Pei, X. Yan, and P. S. Yu. Mining frequent patterns in data streams at multiple time granularities. In In Proceedings of the NSF Workshop on Next Generation Data Mining, 2002.
  • 6
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • New York, NY, USA, ACM
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In ACM SIGMOD Int'l Conf. on Management of Data, pages 1-12, New York, NY, USA, 2000. ACM.
    • (2000) ACM SIGMOD Int'l Conf. on Management of Data , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 8
    • 33644920942 scopus 로고    scopus 로고
    • Research issues in data stream association rule mining
    • N. Jiang and L. Gruenwald. Research issues in data stream association rule mining. SIGMOD Record, 35(1):14-19, 2006.
    • (2006) SIGMOD Record , vol.35 , Issue.1 , pp. 14-19
    • Jiang, N.1    Gruenwald, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.