摘要
为了提高大数据时代高校学生信息化管理数据的挖掘能力,设计提出基于大数据时代高校学生信息化管理数据挖掘系统。构建大数据时代高校学生信息化管理数据采集模型,通过空间分块特征采样的方法,进行大数据时代高校学生信息化数据融合和特征检测,建立大数据时代高校学生信息化特征解析控制模型,在物联网环境下进行高校学生信息化管理数据的组网设计和关联特征检测,通过上述分析实现高校学生信息化管理数据挖掘系统的软件开发设计。仿真结果表明,采用该方法进行高校学生信息化管理数据挖掘的输出稳定性较高,数据挖掘的精准度较好,系统稳定可靠。
In order to improve the data mining ability of College Students’information management in the era of big data,this paper proposes the design of data mining system for college students’information management based on big data era.This paper constructs the big data era data acquisition model of College Students’information management by using the method of spatial block feature sampling,and it carries out the data fusion and feature detection of big data era College Students’Informatization,to establish the analysis control model of university students’information characteristics,which carries out the networking design and correlation feature detection of university students’information management data in the Internet of things environment.Through the above analysis,the software development and design of data mining system for college students’information management is realized.The simulation results show that the output stability of data mining is high,the accuracy of data mining is good,and the system is stable and reliable.
作者
李一杨
熊冬梅
LI Yi-yang;XIONG Dong-mei(Xi’an Medical University,Xi’an 710021,China)
出处
《信息技术》
2021年第8期48-52,共5页
Information Technology
基金
陕西省思想政治工作重大理论与实现问题研究项目(重点)(Sz133)。
关键词
大数据时代
高校学生
信息化管理
数据挖掘
特征检测
big data era
college students
information management
data mining
feature detection
