Abstract
With the continuous improvement of the informatization level of higher education in China, higher education with the core goal of cultivating innovative talents has become a data-intensive research and practice field, and has begun to show the typical characteristics of big data, such as large amount of data, diverse types and low value density. Starting from the data background, this paper analyzes the necessity and advantages of cultivating innovative talents in higher education with the help of big data, and puts forward four training measures including data analysis, innovative research and development, policy integration and practice expansion. The research results are as follows.
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Huang, JC., Ko, KM. (2020). Cultivation of Innovative Talents in Higher Education Based on Big Data. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_23
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DOI: https://doi.org/10.1007/978-981-15-1468-5_23
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