Research Article
A Method for Integrating Sports Information Resources Based on Fuzzy Clustering Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50546-1_1, author={Xiaoxian Xu and Qiao Wu}, title={A Method for Integrating Sports Information Resources Based on Fuzzy Clustering Algorithm}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2024}, month={3}, keywords={Sports information resources Fuzzy clustering algorithm Conceptual network model}, doi={10.1007/978-3-031-50546-1_1} }- Xiaoxian Xu
Qiao Wu
Year: 2024
A Method for Integrating Sports Information Resources Based on Fuzzy Clustering Algorithm
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-50546-1_1
Abstract
To improve the accuracy of sports information resource integration, a fuzzy clustering algorithm based method for sports information resource integration is studied. First, classify the sports information resources. According to the classification results of resources, build the sports information resource model. Use different sports concepts as nodes and their relationships as edges to build the concept network model. Based on the concept network model, denoise the sports information data. Based on the denoised sports information data, use the fuzzy clustering algorithm to cluster the sports information cluster analysis, Obtain relevant clusters of data, and then adjust the clustering algorithm parameters accordingly through statistical analysis of the clustering results to obtain accurate and effective integration results of sports information resources. The experimental results show that the accuracy of sports information integration in this method is the highest at 98%, the recall rate is the highest at 96%, the F1 is the highest at 0.97, and the longest time is 3.77 s, indicating the practicality of this method.
