基于语义指向性的职业教育数据关联模式挖掘系统

Association Pattern Mining System of Vocational Education Data Based on Semantic Orientation

针对传统教育数据关联挖掘系统存在运行开销大、性能差的问题,设计了基于语义指向性的职业教育数据关联模式挖掘系统。首先,将aServer-E-1800作为挖掘系统的硬件基础,提升系统硬件性能;其次,对原始数据进行量化编码处理;最后进行实验分析。实验结果表明,该系统在不同规模并发请求下中央处理器(Central Processing Unit,CPU)利用率和内存占用率始终稳定在21%以内,优于对照组。

A vocational education data association pattern mining system based on semantic directionality was designed to address the issues of high operating costs and poor performance in traditional education data association mining systems.Firstly,use aServer-E-1800 as the hardware foundation of the mining system to improve system hardware performance.Secondly,the original data is quantized and coded.Finally,conduct experimental analysis.The experimental results show that the Central Processing Unit(CPU)utilization and memory usage of the system remain stable within 21%under different scales of concurrent requests,which is superior to the control group.