计算机用户行为分析系统设计与实现
首发时间:2019-07-09
摘要:计算机用户行为的分析可以应用到用户画像研究、智能学习平台等实际应用方面,为此针对计算机用户的行为,分析用户行为,收集其文件处理软件的使用日志、系统进程和主机信息文件和键盘使用记录情况,将收集到的文件进行量化处理之后,作为数值型数据进行K-means聚类分析,得到相关聚类结果,根据结果为用户各项使用情况标注标签,划分等级,最后评价系统准确度,实现了对用户相关行为的分析功能,此计算机用户行为分析系统,可以将原理运用于系统优化和硬件开发等方面,具有现实意义。
关键词: 计算机软件 用户行为 机器学习 K-means聚类算法
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The design and implementation of computer user behaviors analysis system
Abstract:The analysis of computer users behaviors can be applied to the research of user impression, the intelligent learn platform and so on , so I focused on the computer user behaviors, and then analyzed the user behaviors, collecting the log of software of file, system process and host information and the result of using keyboard. After dealing with these files, I put the data into K-means clustering analysis, obtaining the clustering results. According to the results, I gave the labels and level to each user and assessed the accuracy of the system, achieving the function of analyzing the user relative behaviors.
Keywords: ComputerSoftware;User Behavior Learning Machine K-means algorithm
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