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Advancement of Statistical Analysis, Machine Learning and Decision Analysis Based on the Fourteenth ICMSEM Proceedings

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1190)

Abstract

Over the past few years, there have been significant developments in Management Science and Engineering Management (MSEM), across all fields and industries, which together have contributed to global socio-economic development. In this paper, the basic concepts covered in the fourteenth ICMSEM proceedings Volume I are first described, after which a review of the key areas in management science (MS) research are given: statistical analysis, machine learning and decision analysis. And the related research in Proceedings Volume I are discussed. The research trends from both MSEM journals and the ICMSEM are then summarized using the CiteSpace tool. As always, ICMSEM is committed to providing an international forum for academic exchange and communication and plans to continue these MSEM innovations in the future.

Keywords

  • Statistical analysis
  • Machine learning
  • Decision analysis

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Acknowledgements

The author gratefully acknowledges Tingting Liu and Ruolan Li’s efforts on the paper collection and classification, Zongmin Li and Yidan Huang’s efforts on data collation and analysis, and Rongwei Sun and Zhiwen Liu’s efforts on the chart drawing.

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Correspondence to Jiuping Xu .

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Xu, J. (2020). Advancement of Statistical Analysis, Machine Learning and Decision Analysis Based on the Fourteenth ICMSEM Proceedings. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1190. Springer, Cham. https://doi.org/10.1007/978-3-030-49829-0_1

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