互联网环境下体育赛事类节目监测中的数据挖掘技术研究

Research on data mining technology in monitoring sports events in Internet environment

互联网环境下,数据挖掘技术已经在多方面有了应用,本文将数据挖掘技术运用于体育赛事类节目中。首先对数据挖掘技术的概念、优势、常用技术进行了分析,继而将其运用于体育类节目挖掘中,本文构建了体育赛事类节目数据挖掘系统,并提出了关联算法和聚类算法,并构建了体育赛事类节目数据挖掘流程,以收视率数据挖掘为例进行了说明,结果结果表明,本文构建的系统和算法能够有效地对体育赛事类节目相关数据进行挖掘。本文的研究对于体育赛事类节目发展、数据挖掘技术的应用都具有一定的理论及实际意义。

In the Internet environment, data mining technology has been applied in many aspects. This paper applies data mining technology to sports events. First the concept of data mining teehnology , advantages and common technique are analyzed, and then apply it in physical education classes in program mining, this paper constructs the sports program data mining system, and puts forward the correlation algorithm and clustering algorithm, and constructs the sports program data mining process, with ratings data mining as an example to illustrate the results the results showed that the system built in this paper and the algorithm can effectively to sports programs related data mining. The research of this paper has certain theoretical and practical significance for the develop- ment of sports programs and the application of data mining technology.