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Journal Abstract Search

122 related items for PubMed ID: 29351287

  • 1. A novel association rule mining approach using TID intermediate itemset.
    Aqra I, Herawan T, Abdul Ghani N, Akhunzada A, Ali A, Bin Razali R, Ilahi M, Raymond Choo KK.
    PLoS One; 2018; 13(1):e0179703. PubMed ID: 29351287
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  • 5. Quantifying the informativeness for biomedical literature summarization: An itemset mining method.
    Moradi M, Ghadiri N.
    Comput Methods Programs Biomed; 2017 Jul; 146():77-89. PubMed ID: 28688492
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  • 6. 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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  • 7. 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 21; 56(5):749-759. PubMed ID: 28905236
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  • 8. Negative and positive association rules mining from text using frequent and infrequent itemsets.
    Mahmood S, Shahbaz M, Guergachi A.
    ScientificWorldJournal; 2014 May 21; 2014():973750. PubMed ID: 24955429
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  • 10. 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 21; 34(6):2439-50. PubMed ID: 15619944
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  • 11. 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 Dec 21; 7():e385. PubMed ID: 33817031
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  • 12. Graph-based biomedical text summarization: An itemset mining and sentence clustering approach.
    Nasr Azadani M, Ghadiri N, Davoodijam E.
    J Biomed Inform; 2018 Aug 21; 84():42-58. PubMed ID: 29906584
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  • 13. IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments.
    Huang H, Chen S, Chen J.
    Heliyon; 2024 Sep 30; 10(18):e37761. PubMed ID: 39328518
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  • 14. HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth.
    Wang L, Wang S.
    PLoS One; 2021 Sep 30; 16(3):e0248349. PubMed ID: 33711048
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  • 15. Incremental high average-utility itemset mining: survey and challenges.
    Chen J, Yang S, Ding W, Li P, Liu A, Zhang H, Li T.
    Sci Rep; 2024 Apr 30; 14(1):9924. PubMed ID: 38688921
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  • 16. An efficient algorithm for mining closed itemsets.
    Liu JQ, Pan YH.
    J Zhejiang Univ Sci; 2004 Jan 30; 5(1):8-15. PubMed ID: 14663846
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  • 17. Mining Association rules for Low-Frequency itemsets.
    Wu JM, Zhan J, Chobe S.
    PLoS One; 2018 Jan 30; 13(7):e0198066. PubMed ID: 30036359
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  • 18. 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 30; 37(6):1446-59. PubMed ID: 18179065
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  • 19. DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein-Protein Interaction Profiles.
    Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A.
    IEEE Trans Nanobioscience; 2018 Apr 30; 17(2):117-125. PubMed ID: 29870335
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  • 20. 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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