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.
187 related articles for article (PubMed ID: 32287563)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
7. 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]
8. 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]
9. 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]
10. 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]
12. Association rule mining with a special rule coding and dynamic genetic algorithm for air quality impact factors in Beijing, China. Wu X; Wen Q; Zhu J PLoS One; 2024; 19(3):e0299865. PubMed ID: 38437225 [TBL] [Abstract][Full Text] [Related]
13. An Efficient Incremental Mining Algorithm for Discovering Sequential Pattern in Wireless Sensor Network Environments. Lyu X; Ma H Sensors (Basel); 2018 Dec; 19(1):. PubMed ID: 30577676 [TBL] [Abstract][Full Text] [Related]
14. 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 [TBL] [Abstract][Full Text] [Related]
15. Dynamic association rules for gene expression data analysis. Chen SC; Tsai TH; Chung CH; Li WH BMC Genomics; 2015 Oct; 16():786. PubMed ID: 26467206 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Mining the accident causes of railway dangerous goods transportation: A Logistics-DT-TFP based approach. Fa H; Shuai B; Yang Z; Niu Y; Huang W Accid Anal Prev; 2024 Feb; 195():107421. PubMed ID: 38061291 [TBL] [Abstract][Full Text] [Related]
20. Marginal frequent itemset mining for fault prevention of railway overhead contact system. Qian K; Gao S; Yu L ISA Trans; 2022 Jul; 126():276-287. PubMed ID: 34332749 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]