摘要
为了提高高校体育信息的管理分析能力,针对当前高校体育数据库建立和信息检索的实时性和系统性不好的问题,提出基于云计算的海量高校体育数据建模与分析方法,构建高校海量体育数据的分布式数据库模型。在云计算环境下进行数据库访问模型设计,采用K均值数据聚类方法进行体育数据的可靠性挖掘,实现高校体育数据的优化信息调度和检索分析。仿真结果表明,采用该模型进行高校海量体育数据分析的实时性较好,数据挖掘的精度较高。
In order to improve the management and analysis capabilities of the college sports information, and aiming at the poor real-time performance and systematicness of the current college sports database establishment and information retrieval, a massive college sports data modeling and analysis method based on cloud computing is proposed. The distributed database model of the college mass sports data was constructed. The database access model was designed under cloud computing environment. The K-means data clustering method is used to mine the sports data reliably to realize the optimization information scheduling and retrieval analysis of the college sports data. The simulation results show that the model has high real-time performance to analyze the college massive sports data, and high data mining accuracy.
出处
《现代电子技术》
北大核心
2017年第7期105-108,共4页
Modern Electronics Technique
关键词
云计算
海量数据
数据挖掘
K均值
cloud computing
massive data
data mining
K-means
