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Data analysis method of university bidding and purchasing based on improved Apriori algorithm

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  • Tianyu Feng

Abstract

With the increasing scale of university bidding projects and funds year by year and the development trend of "Internet + bidding and procurement", the establishment of high-quality data analysis methods has become the focus of building an Internet-based University bidding and procurement management system. In view of the shortcomings of traditional data analysis methods, based on the analysis of the construction strategy of university bidding and procurement, this study designs a data analysis method of University bidding and procurement based on improved Apriori algorithm. According to the experimental results, the method has high analysis timeliness, accuracy and stability, indicating that the method effectively achieves the design expectation.

Suggested Citation

  • Tianyu Feng, 2025. "Data analysis method of university bidding and purchasing based on improved Apriori algorithm," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 19(3), pages 327-343.
    • Handle: RePEc:ids:ijisde:v:19:y:2025:i:3:p:327-343
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