These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

78 related articles for article (PubMed ID: 25330428)

  • 1. Confabulation-inspired association rule mining for rare and frequent itemsets.
    Soltani A; Akbarzadeh-T MR
    IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):2053-64. PubMed ID: 25330428
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 42(1):1-24. PubMed ID: 32287563
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An efficient pattern growth approach for mining fault tolerant frequent itemsets.
    Bashir S
    Expert Syst Appl; 2020 Apr; 143():113046. PubMed ID: 32288329
    [TBL] [Abstract][Full Text] [Related]  

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

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

  • 6. 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; 56(5):749-759. PubMed ID: 28905236
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CARSVM: a class association rule-based classification framework and its application to gene expression data.
    Kianmehr K; Alhajj R
    Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On Interestingness Measures for Mining Statistically Significant and Novel Clinical Associations from EMRs.
    Abar O; Charnigo RJ; Rayapati A; Kavuluru R
    ACM BCB; 2016 Oct; 2016():587-594. PubMed ID: 28736771
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Negative and positive association rules mining from text using frequent and infrequent itemsets.
    Mahmood S; Shahbaz M; Guergachi A
    ScientificWorldJournal; 2014; 2014():973750. PubMed ID: 24955429
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Efficient discovery of risk patterns in medical data.
    Li J; Fu AW; Fahey P
    Artif Intell Med; 2009 Jan; 45(1):77-89. PubMed ID: 18783927
    [TBL] [Abstract][Full Text] [Related]  

  • 11. RANWAR: rank-based weighted association rule mining from gene expression and methylation data.
    Mallik S; Mukhopadhyay A; Maulik U
    IEEE Trans Nanobioscience; 2015 Jan; 14(1):59-66. PubMed ID: 25265613
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 38(6):1513-24. PubMed ID: 19022723
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules.
    Mai T; Nguyen LTT; Vo B; Yun U; Hong TP
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32079200
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 22(20):. PubMed ID: 36298424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 30(3):211-25. PubMed ID: 16403710
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Boosting association rule mining in large datasets via Gibbs sampling.
    Qian G; Rao CR; Sun X; Wu Y
    Proc Natl Acad Sci U S A; 2016 May; 113(18):4958-63. PubMed ID: 27091963
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Building an associative classifier with multiple minimum supports.
    Hu LY; Hu YH; Tsai CF; Wang JS; Huang MW
    Springerplus; 2016; 5():528. PubMed ID: 27186492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sequential projection-based metacognitive learning in a radial basis function network for classification problems.
    Babu GS; Suresh S
    IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):194-206. PubMed ID: 24808275
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring ant-based algorithms for gene expression data analysis.
    He Y; Hui SC
    Artif Intell Med; 2009 Oct; 47(2):105-19. PubMed ID: 19376690
    [TBL] [Abstract][Full Text] [Related]  

  • 20. New techniques for mining frequent patterns in unordered trees.
    Zhang S; Du Z; Wang JT
    IEEE Trans Cybern; 2015 Jun; 45(6):1113-25. PubMed ID: 25137740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.