Research on the Integration Method of Sports Online Teaching Resources Based on Association Rules

The integration of online sports teaching resources can promote the integration of different disciplines and enhance students’ comprehensive qualities by integrating sports online teaching resources from different disciplines. Utilize association rule algorithms to mine all resources in the online sports teaching platform, and preprocess the mined resources through steps such as missing value filling, anomaly detection, and filtering. Extracting teaching resource features in two forms: text and image; Establish image labels, use LBP to extract the same labels, and randomly divide each type of image into training and testing sample sets. Using classification fusion, fuse sports online text data of the same type and calculate feature weights; Finally, based on the resource format, the integration results of physical education teaching resources in schools are obtained. From the experimental results, it can be seen that compared with the traditional integration method, the data loss of the resource integration result obtained by the optimal design method is reduced by 1.765 GB, and the redundancy is reduced by 0.32. The utilization rate of the integrated teaching resources in the actual teaching work has been significantly improved.