摘要
随着大数据时代的到来,大数据分析技术已经在各行各业得到了应用和发展。研究了数据分析技术中主成分分析方法的原理和数据建模方法。以咸阳师范学院大学生上网行为数据为数据源,借助SAS软件中的数据库和分析模块,对数据源进行采集、整理、清洗,建立分析指标,对预处理后的数据从购物、社交、科技等网址类别指标进行主成分分析,得到大学生上网的高峰期和不同类别对大学生上网情况的影响。最后,根据对大学生上网情况的分析提出合理的规划与建议。
With the advent of the era of big data, big data analysis technology has been applied and developed in all walks of life.The principle of principal component analysis and data modeling methods are studied. Using the students' online behavior data for data source in Xian Yang Normal University, using database and analysis module in SAS software, the data source collection,sorting, cleaning and set up the index, and the pre processed data from shopping, social, science and technology. The types of indicators for principal component analysis, University students' in Internet the peak and different categories of Internet influence on students, finally put forward the planning and reasonable suggestions for college students.
出处
《电脑知识与技术》
2016年第11X期18-20,共3页
Computer Knowledge and Technology
基金
咸阳师范学院(国家级/省级/校级)大学生创新创业训练计划资助项目(项目编号:201610722028)
关键词
大数据
主成分分析
大学生上网行为数据
big data
principal component analysis
university students' Internet behavior data
