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International Journal of Educational Innovation and Science, 2021, 2(1); doi: 10.38007/IJEIS.2021.020101.

Strategies for the Cultivation of Innovative Talents (COIT) in Private Colleges and Universities Based on Big Data Analysis


Zhian Yin, Zhimin Qiu and Wenlong Sun

Corresponding Author:
Wenlong Sun

Nanchang Institute of Science and Technology, Jiangxi 330108, China


With the rapid development of computer technology, the era of information technology has come. So in the current era, many new technologies have been proposed. Among them, there are three popular technologies in recent years: big data (BD), artificial intelligence, cloud computing. Because we want to study the research on the innovative talent training strategy of private colleges and universities, so this paper finally chose to use BD analysis method to study the innovative talent training program of private colleges and universities. This paper, after reviewing the research measures on the COIT and other measures on the COIT in domestic private colleges and universities in recent years, and the measures of various kinds of talents training in major universities, the data results are derived from the mixed frog jumping algorithm to extract the relevant data and conduct a comprehensive analysis of linear coupling. Experimental results show that the method of BD analysis can better draw a research path on the COIT in private colleges and universities. 


Big Data, Big data Analytics, Innovative Talent, Talent Development

Cite This Paper

Zhian Yin, Zhimin Qiu, Wenlong Sun. Strategies for the Cultivation of Innovative Talents (COIT) in Private Colleges and Universities Based on Big Data Analysis. International Journal of Educational Innovation and Science (2021), Vol. 2, Issue 1: 1-7. https://doi.org/10.38007/IJEIS.2021.020101.


[1] Liu B. Text Sentiment Analysis Based on CBOW Model and Deep Learning in BD Environment. Journal of Ambient Intelligence and Humanized Computing, 2020, 11(2):451-458. DOI: 10.1007/s12652-018-1095-6

[2] Fang X, Luo J, Luo G, et al. BD Transmission in Industrial IoT Systems with Small Capacitor Supplying Energy. IEEE Transactions on Industrial Informatics, 2019, 15(4):2360-2371. DOI: 10.1109/TII.2018.2862421

[3] Singh A, Garg S, Kaur K, et al. Fuzzy-Folded Bloom Filter-as-a-Service for BD Storage in the Cloud. IEEE Transactions on Industrial Informatics, 2019, 15(4):2338-2348. DOI: 10.1109/TII.2018.2850053

[4] Wenzhong, Guo, Yiqing, et al. An Unsupervised Embedding Learning Feature Representation Scheme for Network BD Analysis. IEEE Transactions on Network Science and Engineering, 2019, 7(1):115-126. DOI: 10.1109/TNSE.2019.2903913

[5] Suh M J Y, Yi H J, Kim H J, et al. Is Asymmetric Hearing Loss a Risk Factor for Vestibular Dysfunction? Lesson From BD Analysis Based on the Korean National Health and Nutrition Survey. Otology & Neurotology, 2019, 40(10):1339-1345. DOI: 10.1097/MAO. 0000000000002374

[6] Ahmad S, Afzal M M. Development and Effect of Fog Computing on the BD Analysis for IoT Devices in 5G Era. International Journal of Advanced Science and Technology, 2020, 29(4):7033-7040.

[7] Yoo H J, Zhang S U, Jung S J. BD Analysis on Oyster Growth and FLUPSY Environment. Journal of the Korean Society of Manufacturing Process Engineers, 2020, 19(7):106-111.

[8] Niu W, Zhao P. Research on Training Model of Innovative Practical Talents Based on Intelligent Technology. World Scientific Research Journal, 2019, 5(11):44-47.

[9] Chunlong, SUN. Personnel Cultivation Program for Innovative and Entrepreneurial Biopharmaceutical Discipline under the Credit System. Asian Agricultural Research, 2019, v.11 (06):105-110.

[10] Whysall Z, Owtram M, Brittain S. The New Talent Management Challenges of Industry 4.0. Journal of Management Development, 2019, 38(2):118-129. DOI: 10.1108/JMD-06-2018-0181