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Volumn , Issue , 2005, Pages 210-217

An algorithm for in-core frequent itemset mining on streaming data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STORAGE EQUIPMENT; DECISION TREES; VIDEO STREAMING;

EID: 34548544986     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.21     Document Type: Conference Paper
Times cited : (109)

References (22)
  • 1
    • 34548599455 scopus 로고    scopus 로고
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonent, and A. Inkeri Verkamo. Fast discovery of association rules. In U. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, pages 307-326. AAAI Press, Menlo Park, CA, 1998.
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonent, and A. Inkeri Verkamo. Fast discovery of association rules. In U. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, pages 307-326. AAAI Press, Menlo Park, CA, 1998.
  • 4
    • 34548582955 scopus 로고    scopus 로고
    • Christen Borgelt. A priori implementatian, Version 4.08
    • Christen Borgelt. A priori implementatian. http://faazy.cs.Uni.Magdeburg. dr/borgelt/Software.Version 4.08.
  • 5
    • 19544377965 scopus 로고    scopus 로고
    • Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding window
    • November
    • Yun Chi, Haixun Wang, Philip Yu, and Richard Muntz. Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding window. In International Conference Data Mining (ICDM), November 2004.
    • (2004) International Conference Data Mining (ICDM)
    • Chi, Y.1    Wang, H.2    Yu, P.3    Muntz, R.4
  • 7
    • 34548579992 scopus 로고    scopus 로고
    • C. Giannella, Jiawei Han, Jian Pei, Xifeng Yan, and P. S. Yu. Mining Frequent Patterns in Data Streams at Multiple Time Granularities. In Proceedings of the NSF Workshop on Next Generation Data Mining, November 2002.
    • C. Giannella, Jiawei Han, Jian Pei, Xifeng Yan, and P. S. Yu. Mining Frequent Patterns in Data Streams at Multiple Time Granularities. In Proceedings of the NSF Workshop on Next Generation Data Mining, November 2002.
  • 8
    • 34548558495 scopus 로고    scopus 로고
    • Bart Goethals. Fp- tree implementation. http://www.cs.helsinki.fi/u/ goethals/software/index.html. Version Last Updated April 2003.
    • Bart Goethals. Fp- tree implementation. http://www.cs.helsinki.fi/u/ goethals/software/index.html. Version Last Updated April 2003.
  • 10
    • 0033685260 scopus 로고    scopus 로고
    • E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. IEEE Transactions on Data and Knowledge Engineering, 12(3), May / Jane 2000.
    • E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. IEEE Transactions on Data and Knowledge Engineering, 12(3), May / Jane 2000.
  • 13
    • 34548563294 scopus 로고    scopus 로고
    • An algorithm for in-core frequent itemset mining on streaming data
    • Technical Report OSU-CISRC-2/04-TR14, Ohio State University, 2904
    • Ruoming Jin and Gagan Agrawal. An algorithm for in-core frequent itemset mining on streaming data. Technical Report OSU-CISRC-2/04-TR14, Ohio State University, 2904.
    • Jin, R.1    Agrawal, G.2
  • 17
    • 0002082857 scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • A. Savasese, E. Omiecinski, and S.Navathe. An efficient algorithm for mining association rules in large databases. In 21th VLDB Conf., 1995.
    • (1995) 21th VLDB Conf
    • Savasese, A.1    Omiecinski, E.2    Navathe, S.3
  • 21
    • 0033354342 scopus 로고    scopus 로고
    • Parallel and distributed association mining: A survey
    • Mohammed J. Zaki. Parallel and distributed association mining: A survey. IEEE Concurrency, 7(4):14-25, 1999.
    • (1999) IEEE Concurrency , vol.7 , Issue.4 , pp. 14-25
    • Zaki, M.J.1
  • 22
    • 0035788918 scopus 로고    scopus 로고
    • S. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 401-406. ACM Press, August 2901.
    • S. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 401-406. ACM Press, August 2901.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.