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Journal Abstract Search
136 related items for PubMed ID: 25143989
1. Personalized privacy-preserving frequent itemset mining using randomized response. Sun C, Fu Y, Zhou J, Gao H. ScientificWorldJournal; 2014; 2014():686151. PubMed ID: 25143989 [Abstract] [Full Text] [Related]
2. A primer to frequent itemset mining for bioinformatics. Naulaerts S, Meysman P, Bittremieux W, Vu TN, Vanden Berghe W, Goethals B, Laukens K. Brief Bioinform; 2015 Mar; 16(2):216-31. PubMed ID: 24162173 [Abstract] [Full Text] [Related]
3. 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 [Abstract] [Full Text] [Related]
4. The Mining Algorithm of Maximum Frequent Itemsets Based on Frequent Pattern Tree. Mi X. Comput Intell Neurosci; 2022 Jul; 2022():7022168. PubMed ID: 35634074 [Abstract] [Full Text] [Related]
5. 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 Jul; 13(1):e0179703. PubMed ID: 29351287 [Abstract] [Full Text] [Related]
6. On Differentially Private Frequent Itemset Mining. Zeng C, Naughton JF, Cai JY. VLDB J; 2012 Nov 01; 6(1):25-36. PubMed ID: 24039383 [Abstract] [Full Text] [Related]
7. The density-based clustering method for privacy-preserving data mining. Wu JM, Lin JC, Viger PF, Djenouri Y, Chen CH, Li ZC. Math Biosci Eng; 2019 Feb 27; 16(3):1718-1728. PubMed ID: 30947440 [Abstract] [Full Text] [Related]
10. Privacy-Preserving Process Mining in Healthcare. Pika A, Wynn MT, Budiono S, Ter Hofstede AHM, van der Aalst WMP, Reijers HA. Int J Environ Res Public Health; 2020 Mar 02; 17(5):. PubMed ID: 32131516 [Abstract] [Full Text] [Related]
11. Graph-based biomedical text summarization: An itemset mining and sentence clustering approach. Nasr Azadani M, Ghadiri N, Davoodijam E. J Biomed Inform; 2018 Aug 02; 84():42-58. PubMed ID: 29906584 [Abstract] [Full Text] [Related]