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Uncertainty Reduction of Unlabeled Features in Landslide Inventory Using Machine Learning t-SNE Clustering and Data Mining Apriori Association Rule Algorithms

机译：使用机器学习T-SNE聚类和数据挖掘APRISI关联规则算法的滑坡库存未标记特征的不确定性降低

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Omar F. Althuwaynee; Ali Aydda; In-Tak Hwang; Yoon-Kyung Lee; Sang-Wan Kim; Hyuck-Jin Park; Moon-Se Lee; Yura Park;
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年度 2021
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1. Applicability of Apriori Based Association Rules on Medical Data: Identification of Associations on Medical Data/Heart disease Dataset using Apriori Based Algorithm [J] . P. Sambasiva Rao, T. Uma Devi International Journal of Applied Engineering Research . 2017,第20aPta2期

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3. Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules [J] . Zhi Li, Xuyu Li, Runhua Tang, Frontiers in Psychology . 2020,第a期

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5. Analyzing association rules produced by applying the apriori algorithm to structured data. [D] . Gala, Darshana. 2006

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6. Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules [O] . Zhi Li, Xuyu Li, Runhua Tang, 2020

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7. Feature Selection by Mining Optimized Association Rules based on Apriori Algorithm [O] . K. Rajeswari Phd 2015

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Uncertainty Reduction of Unlabeled Features in Landslide Inventory Using Machine Learning t-SNE Clustering and Data Mining Apriori Association Rule Algorithms

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