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International Conference on Management Science and Engineering Management

ICMSEM 2020: Proceedings of the Fourteenth International Conference on Management Science and Engineering Management pp 1–9Cite as

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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References

  1. Alpaydin, E.: Introduction to Machine Learning. MIT Press, Cambridge (2020)

    Google Scholar 

  2. Chen, C.: Citespace ii: detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 57(3), 359–377 (2006)

    CrossRef  Google Scholar 

  3. Clemen, R.T.: Making Hard Decisions: An Introduction to Decision Analysis. Brooks/Cole Publishing Company, Pacific Grove (1996)

    Google Scholar 

  4. Giraldo, R., Dabo-Niang, S., Martinez, S.: Statistical modeling of spatial big data: an approach from a functional data analysis perspective. Stat. Probab. Lett. 136, 126–129 (2018)

    MathSciNet  CrossRef  Google Scholar 

  5. Guo, Y., Wang, N., Xu, Z.Y., Wu, K.: The internet of things-based decision support system for information processing in intelligent manufacturing using data mining technology. Mech. Syst. Sig. Process. 142, 106630 (2020)

    Google Scholar 

  6. Johanna, S.M., David, O.Y., Javier, R.I., et al.: Predictive analysis of urban waste generation for the city of Bogota, Colombia, through the implementation of decision trees-based machine learning, support vector machines and artificial neural networks. Heliyon 5(11) (2019)

    Google Scholar 

  7. Michie, D., Spiegelhalter, D.J., Taylor, C., et al.: Machine learning. Neural Stat. Classif. 13(1994), 1–298 (1994)

    MATH  Google Scholar 

  8. Narula, S.C., Vassilev, V.S., Genova, K.B., et al.: A reference neighbourhood interactive method for solving a class of multiple criteria decision analysis problem. IFAC Proc. 37(19), 131–137 (2004)

    CrossRef  Google Scholar 

  9. Rai, S.N., Qian, C., Pan, J., et al.: Microbiome data analysis with an application to a pre-clinical study using qiime2: statistical considerations. Genes Dis. (2019)

    Google Scholar 

  10. Rezapour, M., Molan, A.M., Ksaibati, K.: Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models. Int. J. Transp. Sci. Technol. (2019)

    Google Scholar 

  11. Smith, C.B.: Adaptive management on the central platte river–science, engineering, and decision analysis to assist in the recovery of four species. J. Environ. Manag. 92, 1414–1419 (2010)

    Google Scholar 

  12. Taji, I., Ghorbani, S., De Brito, J., et al.: Application of statistical analysis to evaluate the corrosion resistance of steel rebars embedded in concrete with marble and granite waste dust. J. Cleaner Prod. 210, 837–846 (2019)

    CrossRef  Google Scholar 

  13. Verma, R.: Management science, theory of constraints/optimized production technology and local optimization. Omega 25(2), 189–200 (1997)

    CrossRef  Google Scholar 

  14. Xu, J., Zhou, L.: An adaptive trivariate dimension-reduction method for statistical moments assessment and reliability analysis. Appl. Math. Model. 82, 748–765 (2020)

    Google Scholar 

  15. Xu, Z.: Uncertain Multi-attribute Decision Making: Methods and Applications. Springer, Heidelberg (2015)

    Google Scholar 

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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.

Author information

Authors and Affiliations

  1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, 610064, People’s Republic of China

    Jiuping Xu

Authors
  1. Jiuping Xu
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Corresponding author

Correspondence to Jiuping Xu .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Prof. Jiuping Xu

  2. Academy of Sciences of Moldova, Chisinau, Moldova

    Prof. Gheorghe Duca

  3. Faculty of Math and Science, Brock University, Hamilton, ON, Canada

    Prof. Dr. Syed Ejaz Ahmed

  4. ETSI Industriales de Ciudad Real, University of Castile-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  5. Institute of Control Systems, Azerbaijan Natl Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

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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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