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Titlebook: Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021 Springer Na

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Fabrication and Characterization Methods,t although the under-sampling method slightly improves model performance, the different sampling methods do not have a substantial impact on the evaluation of immediate software defect prediction models.
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https://doi.org/10.1007/978-3-642-33001-8 the superiority of the proposed scheme over other the traditional task computing scheme. That this scheme can effectively reduce the system energy cost and improve the solving efficiency as compared to the traditional task computing scheme, in terms of the solving efficiency.
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https://doi.org/10.1007/978-981-10-6811-9re to improve service quality and reflect the value of data temperature. Experiments are performed to evaluate the proposed strategy, which can effectively reduce the total cost and improve data availability.
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https://doi.org/10.1007/978-981-10-6811-9roduces the idea of machine learning into the filtering rules of the decision tree, and uses the optimized decision tree C4.5 algorithm to predict the optimal ranking of the firewall filtering rule table attributes, which improves the efficiency of the firewall and thus the throughputs of the firewall.
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An Empirical Study on Data Sampling for Just-in-Time Defect Predictiont although the under-sampling method slightly improves model performance, the different sampling methods do not have a substantial impact on the evaluation of immediate software defect prediction models.
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Firewall Filtering Technology and Application Based on Decision Treeroduces the idea of machine learning into the filtering rules of the decision tree, and uses the optimized decision tree C4.5 algorithm to predict the optimal ranking of the firewall filtering rule table attributes, which improves the efficiency of the firewall and thus the throughputs of the firewall.
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