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Journal Abstract Search

121 related items for PubMed ID: 24729652

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. The Mining Algorithm of Maximum Frequent Itemsets Based on Frequent Pattern Tree.
    Mi X.
    Comput Intell Neurosci; 2022 Oct 01; 2022():7022168. PubMed ID: 35634074
    [Abstract] [Full Text] [Related]

  • 3. 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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  • 4. LCTree-Based Approach for Mining Frequent Items in Real-Time.
    Chen J, Chen J, Zhong Z, Zhang H, Kantardzic M.
    Comput Intell Neurosci; 2022 Apr 01; 2022():7430106. PubMed ID: 36275960
    [Abstract] [Full Text] [Related]

  • 5. 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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  • 6. Mining of high utility-probability sequential patterns from uncertain databases.
    Zhang B, Lin JC, Fournier-Viger P, Li T.
    PLoS One; 2017 Oct 01; 12(7):e0180931. PubMed ID: 28742847
    [Abstract] [Full Text] [Related]

  • 7. 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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  • 9. An incremental high-utility mining algorithm with transaction insertion.
    Lin JC, Gan W, Hong TP, Zhang B.
    ScientificWorldJournal; 2015 Oct 01; 2015():161564. PubMed ID: 25811038
    [Abstract] [Full Text] [Related]

  • 10. Diagnosis of coronary artery disease using an efficient hash table based closed frequent itemsets mining.
    Dhanaseelan R, Jeya Sutha M.
    Med Biol Eng Comput; 2018 May 01; 56(5):749-759. PubMed ID: 28905236
    [Abstract] [Full Text] [Related]

  • 11. Fast Utility Mining on Sequence Data.
    Gan W, Lin JC, Zhang J, Fournier-Viger P, Chao HC, Yu PS.
    IEEE Trans Cybern; 2021 Feb 01; 51(2):487-500. PubMed ID: 32142464
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  • 12. Frequent patterns mining in multiple biological sequences.
    Chen L, Liu W.
    Comput Biol Med; 2013 Oct 01; 43(10):1444-52. PubMed ID: 24034736
    [Abstract] [Full Text] [Related]

  • 13. 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 Oct 01; 7():e385. PubMed ID: 33817031
    [Abstract] [Full Text] [Related]

  • 14. 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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  • 19. Bit-table based biclustering and frequent closed itemset mining in high-dimensional binary data.
    Király A, Gyenesei A, Abonyi J.
    ScientificWorldJournal; 2014 Jan 01; 2014():870406. PubMed ID: 24616651
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