Titlebook: LISS2019; Proceedings of the 9 Juliang Zhang,Martin Dresner,Xiaopu Shang Conference proceedings 2020 The Editor(s) (if applicable) and The

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排斥

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SMART

Trends and Challenges of Data Management in Industry 4.0,y, so few proposals for prescriptive analytics have been developed. Based on the evidence found, we believe that it is necessary to align technology, modeling, and optimization under a methodology focused on data management.

SPURN

The Influence of Government Subsidies on the Development of New Energy Vehicle Industry,em. Government in support of listed companies, at the same time, also should help them to improve the core competitiveness. Improving the regulatory mechanism, transforming the mode of subsidies and promoting the ability of the independent research and development of enterprises can also help enterprises to achieve economies of scale.

符合國情

Mortality Prediction of ICU Patient Based on Imbalanced Data Classification Model,d is used to obtain a balanced data. Finally, we apply some traditional classification algorithms to conduct experiment on a medical data set, and the experimental results show that the classification accuracy of balanced data set is more efficient than the imbalanced data set considering the minority death patients.

外表讀作

informatics, service operations and service science. The book gathers the outcomes of the “9th International Conference on Logistics, Informatics and Service Sciences,” which was held at the University of Maryland, USA. .978-981-15-5684-5978-981-15-5682-1

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