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.
134 related articles for article (PubMed ID: 36989254)
1. Mining actionable combined high utility incremental and associated sequential patterns. Shi M; Gong Y; Xu T; Zhao L PLoS One; 2023; 18(3):e0283365. PubMed ID: 36989254 [TBL] [Abstract][Full Text] [Related]
2. Fast Utility Mining on Sequence Data. Gan W; Lin JC; Zhang J; Fournier-Viger P; Chao HC; Yu PS IEEE Trans Cybern; 2021 Feb; 51(2):487-500. PubMed ID: 32142464 [TBL] [Abstract][Full Text] [Related]
3. Mining of high utility-probability sequential patterns from uncertain databases. Zhang B; Lin JC; Fournier-Viger P; Li T PLoS One; 2017; 12(7):e0180931. PubMed ID: 28742847 [TBL] [Abstract][Full Text] [Related]
4. Mining Contiguous Sequential Generators in Biological Sequences. Zhang J; Wang Y; Zhang C; Shi Y IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):855-867. PubMed ID: 26529774 [TBL] [Abstract][Full Text] [Related]
5. A node linkage approach for sequential pattern mining. Navarro O; Cumplido R; VillaseƱor-Pineda L; Feregrino-Uribe C; Carrasco-Ochoa JA PLoS One; 2014; 9(6):e95418. PubMed ID: 24933123 [TBL] [Abstract][Full Text] [Related]
6. Efficient mining gapped sequential patterns for motifs in biological sequences. Liao V; Chen MS BMC Syst Biol; 2013; 7 Suppl 4(Suppl 4):S7. PubMed ID: 24565366 [TBL] [Abstract][Full Text] [Related]
7. Top-k Self-Adaptive Contrast Sequential Pattern Mining. Wu Y; Wang Y; Li Y; Zhu X; Wu X IEEE Trans Cybern; 2022 Nov; 52(11):11819-11833. PubMed ID: 34143749 [TBL] [Abstract][Full Text] [Related]
8. Frequent patterns mining in multiple biological sequences. Chen L; Liu W Comput Biol Med; 2013 Oct; 43(10):1444-52. PubMed ID: 24034736 [TBL] [Abstract][Full Text] [Related]
9. Mining significant high utility gene regulation sequential patterns. Zihayat M; Davoudi H; An A BMC Syst Biol; 2017 Dec; 11(Suppl 6):109. PubMed ID: 29297335 [TBL] [Abstract][Full Text] [Related]
10. Mining high occupancy patterns to analyze incremental data in intelligent systems. Kim H; Ryu T; Lee C; Kim H; Truong T; Fournier-Viger P; Pedrycz W; Yun U ISA Trans; 2022 Dec; 131():460-475. PubMed ID: 35636986 [TBL] [Abstract][Full Text] [Related]
11. Combined mining: discovering informative knowledge in complex data. Cao L; Zhang H; Zhao Y; Luo D; Zhang C IEEE Trans Syst Man Cybern B Cybern; 2011 Jun; 41(3):699-712. PubMed ID: 21592913 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. MpBsmi: A new algorithm for the recognition of continuous biological sequence pattern based on index structure. Li W; Ren J PLoS One; 2018; 13(4):e0195601. PubMed ID: 29684052 [TBL] [Abstract][Full Text] [Related]
14. Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records. Li J; Tan X; Xu X; Wang F IEEE J Biomed Health Inform; 2019 Sep; 23(5):2138-2147. PubMed ID: 30346297 [TBL] [Abstract][Full Text] [Related]
15. HUOPM: High-Utility Occupancy Pattern Mining. Gan W; Lin JC; Fournier-Viger P; Chao HC; Yu PS IEEE Trans Cybern; 2020 Mar; 50(3):1195-1208. PubMed ID: 30794524 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. Casanova IJ; Campos M; Juarez JM; Gomariz A; Canovas-Segura B; Lorente-Ros M; Lorente JA BMC Med Inform Decis Mak; 2024 Jun; 24(1):165. PubMed ID: 38872146 [TBL] [Abstract][Full Text] [Related]
18. High-throughput phenotyping with temporal sequences. Estiri H; Strasser ZH; Murphy SN J Am Med Inform Assoc; 2021 Mar; 28(4):772-781. PubMed ID: 33313899 [TBL] [Abstract][Full Text] [Related]
19. CFSH: Factorizing sequential and historical purchase data for basket recommendation. Wang P; Chen J; Niu S PLoS One; 2018; 13(10):e0203191. PubMed ID: 30303962 [TBL] [Abstract][Full Text] [Related]