In the past two years, equestrian sports have become more and more popular with the public. Due to the comprehensive development of equestrian preparations for the 2020 Olympic Games in China, the equestrian sports industry presents an unprecedented favorable development environment in China. This article is aimed at studying the construction of an equestrian event information intelligent processing platform based on data fusion and data mining. This article introduces the relevant theoretical knowledge of data mining and data fusion, including the description of the concept of data mining, the common analysis methods and algorithms of data mining, the basic concepts of data fusion, and the functional structure of data fusion. It discusses various algorithms in cluster analysis and focuses on the analysis of distance measurement and similarity coefficient in cluster analysis. In the experimental part, in order to intelligently process and acquire information, an information intelligent processing platform is constructed based on data fusion and data mining technology. The experimental results of this paper show that the precision rate, recall rate, and -score of the platform under closed test are much higher than those under open test, and the precision rate is increased by about 7.26%.

中文翻译：

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基于数据融合和数据挖掘的马术赛事信息智能处理平台构建

近两年，马术运动越来越受到大众的喜爱。由于我国2020年奥运会马术备战工作全面开展，我国马术体育产业呈现出前所未有的良好发展环境。本文旨在研究基于数据融合和数据挖掘的马术赛事信息智能处理平台的构建。本文介绍了数据挖掘和数据融合的相关理论知识，包括数据挖掘概念的描述，数据挖掘常用的分析方法和算法，数据融合的基本概念，数据融合的功能结构。讨论了聚类分析中的各种算法，重点分析了聚类分析中的距离度量和相似系数。在实验部分，为了对信息进行智能化处理和获取，构建了基于数据融合和数据挖掘技术的信息智能处理平台。本文的实验结果表明，准确率、召回率和-封闭测试平台得分远高于开放测试平台，准确率提升约7.26%。