Research on auditing of large-scale instruments and equipment opening and sharing in universities based on data mining

Tingting Zheng; Yang Wang

doi:10.1117/12.3055791

2 December 2024 Research on auditing of large-scale instruments and equipment opening and sharing in universities based on data mining

Tingting Zheng, Yang Wang

Author Affiliations +

Proceedings Volume 13443, Fifth International Conference on Computer Vision and Information Technology (CVIT 2024); 134430B (2024) https://doi.org/10.1117/12.3055791
Event: 2024 5th International Conference on Computer Vision and Information Technology (CVIT 2024), 2024, Beijing, China

Abstract

In the new era of the booming digital economy, the digital transformation trend of auditing is inevitable, and carrying out internal auditing in universities with data mining techniques is a beneficial exploration following the trend. This paper builds an auditing framework of large-scale instrumentation and equipment opening and sharing in universities based on data mining. It designs three data mining processes: "data collection, data preprocessing, data analysis", and proposes a "3×2" data analysis system that encompasses "two types of supervision points, two evaluation indicators, and two recommendation bases", aligned with the three functions of internal auditing: "supervision, evaluation, and recommendation". It provides ideas for the use of auditing digitization to promote the improvement of large-scale instrumentation and equipment opening and sharing management in universities, and provides a practical path for the transformation and upgrading of internal auditing in universities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tingting Zheng and Yang Wang "Research on auditing of large-scale instruments and equipment opening and sharing in universities based on data mining", Proc. SPIE 13443, Fifth International Conference on Computer Vision and Information Technology (CVIT 2024), 134430B (2 December 2024); https://doi.org/10.1117/12.3055791

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