Title: A sharing method of English book resources in regional teaching consortium based on XDS technology

Authors: Yawei Liu

Addresses: Department of Foreign Language Studies, Zhengzhou Shuqing Medical College, Zhengzhou, Henan, China

Abstract: There are issues with low security coefficients in the sharing of English book resources in regional teaching consortia. Therefore, this article designs a method for sharing English book resources in regional teaching consortia based on XDS technology. Firstly, the graph clustering algorithm is used to abstract the English book resource data of the regional teaching consortium into a mathematical problem, and the clustered English book resources are divided into cluster families to achieve resource data collection. Then, the decision tree algorithm is used to classify the collected English book resource data, and the naive Bayesian algorithm is used to fill in the data after classification. Finally, use XDS technology to construct a framework for English book resource sharing in regional teaching consortia, and achieve research on resource security sharing. The test results show that the proposed method can improve the security of shared resource data and has a good effect.

Keywords: XDS technology; regional teaching consortium; English book resources; sharing methods; graph clustering.

DOI: 10.1504/IJCAT.2023.138835

International Journal of Computer Applications in Technology, 2023 Vol.73 No.4, pp.353 - 362

Received: 21 Sep 2023
Accepted: 11 Jan 2024
Published online: 31 May 2024 *

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