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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

124 related items for PubMed ID: 38688921

  • 41. Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.
    Rehman SU, Alnazzawi N, Ashraf J, Iqbal J, Khan S.
    Sensors (Basel); 2022 Oct 21; 22(20):. PubMed ID: 36298424
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  • 42. Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application.
    Schuster D, Benevento E, Aloini D, van der Aalst WMP.
    J Healthc Inform Res; 2024 Sep 21; 8(3):523-554. PubMed ID: 39131100
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  • 45. Rule mining and classification in a situation assessment application: a belief-theoretic approach for handling data imperfections.
    Rohitha KK, Hewawasam GK, Premaratne K, Shyu ML.
    IEEE Trans Syst Man Cybern B Cybern; 2007 Dec 21; 37(6):1446-59. PubMed ID: 18179065
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  • 47. PARM--an efficient algorithm to mine association rules from spatial data.
    Ding Q, Ding Q, Perrizo W.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec 21; 38(6):1513-24. PubMed ID: 19022723
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  • 49. Hyper-structure mining of frequent patterns in uncertain data streams.
    Hewanadungodage C, Xia Y, Lee JJ, Tu YC.
    Knowl Inf Syst; 2013 Oct 01; 37(1):219-244. PubMed ID: 24729652
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  • 51. Combined mining: discovering informative knowledge in complex data.
    Cao L, Zhang H, Zhao Y, Luo D, Zhang C.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Jun 01; 41(3):699-712. PubMed ID: 21592913
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  • 52. A GA-based approach to hide sensitive high utility itemsets.
    Lin CW, Hong TP, Wong JW, Lan GC, Lin WY.
    ScientificWorldJournal; 2014 Jun 01; 2014():804629. PubMed ID: 24729755
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  • 54. Evaluating the Privacy Implications of Frequent Itemset Disclosure.
    Serra E, Vaidya J, Akella H, Sharma A.
    ICT Syst Secur Priv Prot (2017); 2017 May 01; 502():506-519. PubMed ID: 29204591
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  • 58. A novel approach for incremental uncertainty rule generation from databases with missing values handling: application to dynamic medical databases.
    Konias S, Chouvarda I, Vlahavas I, Maglaveras N.
    Med Inform Internet Med; 2005 Sep 01; 30(3):211-25. PubMed ID: 16403710
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  • 60. Discovering metric temporal constraint networks on temporal databases.
    Álvarez MR, Félix P, Cariñena P.
    Artif Intell Med; 2013 Jul 01; 58(3):139-54. PubMed ID: 23660232
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