Advancement of data analysis and mining, decision support system, and computing science based on the thirteenth ICMSEM proceedings

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Abstract

With strong links to management, economics, business, engineering and other subjects, management science (MS) employs various scientific research-based principles, strategies, and analytical methods such as mathematical modeling and data analysis to make decisions and solve complex problems. In recent decades, there has been a significant increase in the scientific MS community, especially in the fields of data analysis and mining, decision support system, and computing science. This paper gives a brief introduction to the 13th ICMSEM proceedings Volume I, examines the reasons why data analysis and mining, decision support system, and computing science have become key foci in the past few years, and outlines the central research areas in the 13th ICMSEM proceedings Volume I in a brief literature review. Finally, CiteSpace is used to investigate the keywords to identify the frontier MS innovations. The ICMSEM continues to provide a valuable forum for academic exchange and communication to promote future management science and engineering management innovations.

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Xu, J. (2020). Advancement of data analysis and mining, decision support system, and computing science based on the thirteenth ICMSEM proceedings. In Advances in Intelligent Systems and Computing (Vol. 1001, pp. 1–10). Springer Verlag. https://doi.org/10.1007/978-3-030-21248-3_1

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