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Journal Abstract Search

119 related items for PubMed ID: 33817031

  • 1. TKFIM: Top-K frequent itemset mining technique based on equivalence classes.
    Iqbal S, Shahid A, Roman M, Khan Z, Al-Otaibi S, Yu L.
    PeerJ Comput Sci; 2021; 7():e385. PubMed ID: 33817031
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  • 3. The Mining Algorithm of Maximum Frequent Itemsets Based on Frequent Pattern Tree.
    Mi X.
    Comput Intell Neurosci; 2022; 2022():7022168. PubMed ID: 35634074
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  • 5. An efficient pattern growth approach for mining fault tolerant frequent itemsets.
    Bashir S.
    Expert Syst Appl; 2020 Apr 01; 143():113046. PubMed ID: 32288329
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  • 7. On Differentially Private Frequent Itemset Mining.
    Zeng C, Naughton JF, Cai JY.
    VLDB J; 2012 Nov 01; 6(1):25-36. PubMed ID: 24039383
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  • 12. Parallel and distributed methods for incremental frequent itemset mining.
    Otey ME, Parthasarathy S, Wang C, Veloso A, Meira W.
    IEEE Trans Syst Man Cybern B Cybern; 2004 Dec 01; 34(6):2439-50. PubMed ID: 15619944
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  • 13. HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth.
    Wang L, Wang S.
    PLoS One; 2021 Dec 01; 16(3):e0248349. PubMed ID: 33711048
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  • 15. An efficient algorithm for mining closed itemsets.
    Liu JQ, Pan YH.
    J Zhejiang Univ Sci; 2004 Jan 01; 5(1):8-15. PubMed ID: 14663846
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  • 16. Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism.
    Hu YH, Chen YL.
    Decis Support Syst; 2006 Oct 01; 42(1):1-24. PubMed ID: 32287563
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  • 19. Negative and positive association rules mining from text using frequent and infrequent itemsets.
    Mahmood S, Shahbaz M, Guergachi A.
    ScientificWorldJournal; 2014 Oct 01; 2014():973750. PubMed ID: 24955429
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