Titlebook: Data Mining and Big Data; 5th International Co Ying Tan,Yuhui Shi,Milan Tuba Conference proceedings 2020 Springer Nature Singapore Pte Ltd.

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關(guān)節(jié)炎

Analysis of Breast Cancer Detection Using Different Machine Learning Techniques,med. The efficiency of each classifier is assessed in terms of true positive, false positive, Roc curve, standard deviation (Std), and accuracy (AC). Experiments show that using a resample filter enhances the classifier’s performance where SMO outperforms others in the WBC dataset and J48 is superio

主動脈

https://doi.org/10.1007/978-3-030-18991-4roposed method, experiments on various datasets are conducted. The experimental results demonstrate that the proposed method outperforms both classical and state-of-the-art multi-task learning baselines.

Flatter

Outline of a Theory of Relevanceiscontinuous surface naturally evaded in the hypersonic range because of surface temperature upsurge is capable of enhancing the lift-to-drag ratio in the low-speed range; the hypothesis grew into a new design problem.

石墨

Choosing Among Projects of Action, the network is divided into communities based on LPA algorithm. Finally, the importance of the node is calculated by combining the influence of the community itself and the influence of the node on the community. Experiments are carried out on real social network data and compared with other commu

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https://doi.org/10.1007/978-94-010-1340-6d to divide TSI as a traffic congestion evaluation index and divide the road congestion into four levels. In this way, we can get the congestion of the road in each time period of the day and the time required to pass. Then we use the random forest, adaboost, GBDT, Lasso CV and BP neural networks in