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Volumn 11, Issue 1, 2007, Pages 49-73

Approximate mining of frequent patterns on streams

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EID: 41849106846     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2007-11104     Document Type: Article
Times cited : (21)

References (38)
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  • 14
    • 0003641269 scopus 로고    scopus 로고
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    • Profiling High Frequency Accident Locations Using Association Rules
    • Transportation Research Board
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    • (2003) Proceedings of the 82nd Annual
    • Geurts, K.1    Wets, G.2    Brijs, T.3    Vanhoof, K.4
  • 21
    • 0037206196 scopus 로고    scopus 로고
    • Mining association rules using inverted hashing and pruning
    • J.D. Holt and S.M. Chung, Mining association rules using inverted hashing and pruning. Information Processing Letters 83(4) (2002).
    • (2002) Information Processing Letters , vol.83 , Issue.4
    • Holt, J.D.1    Chung, S.M.2
  • 26
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    • Fast sequential and parallel algorithms for association rules mining: A comparison
    • Technical Report CS-TR-3515, University of Maryland
    • A. Mueller, Fast sequential and parallel algorithms for association rules mining: A comparison. Technical Report CS-TR-3515, University of Maryland, 1995.
    • (1995)
    • Mueller, A.1
  • 32
    • 0141719772 scopus 로고    scopus 로고
    • Finding the most interesting patterns in a database quickly by using sequential sampling
    • T. Scheffer and S. Wrobel, Finding the most interesting patterns in a database quickly by using sequential sampling, Journal of Machine Learning Research 3 (2003).
    • (2003) Journal of Machine Learning Research , vol.3
    • Scheffer, T.1    Wrobel, S.2
  • 37
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    • A survey
    • Parallel and distributed association mining
    • M.J. Zaki, Parallel and distributed association mining: A survey, IEEE Concurrency 7(4) (1999).
    • (1999) IEEE Concurrency , vol.7 , Issue.4
    • Zaki, M.J.1


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