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Design of 1+X Modern Apprenticeship Intelligent Information Management System Based on Sequence Clustering

  • Conference paper
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 97))

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Abstract

Before the birth of school education, apprenticeship has always been the main means of technological inheritance in human society. After the industrial revolution in the 18th century, school education with the main content of imparting scientific knowledge replaced the apprenticeship. However, the apprenticeship did not die out, but was retained in different forms.

Modern apprenticeship is a cooperative education system that combines traditional apprenticeship training with modern school education. Its powerful talent training function and efficiency have attracted worldwide attention. Therefore, it has become an important strategy for economic development and human resources development in many countries.

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References

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Author information

Authors and Affiliations

  1. Shandong University of Engineering and Technology, Zibo, Shandong, China

    Qifeng Han, Yanchun Xu & Chuanye Wang

Authors
  1. Qifeng Han
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  2. Yanchun Xu
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  3. Chuanye Wang
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Editor information

Editors and Affiliations

  1. University of Sunderland, Sunderland, UK

    John Macintyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, China

    Xiaomeng Ma

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Han, Q., Xu, Y., Wang, C. (2022). Design of 1+X Modern Apprenticeship Intelligent Information Management System Based on Sequence Clustering. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_139

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