In order to improve the dynamic tracking effect of evaluation progress,a dynamic evaluation progress tracking system based on big data and association rules is designed.In the hardware part of the system,the microcontroller,communication module,memory module and signal acquisition module are designed.In the software part of the system,big data mining tech-nology is used to mine employee-related data,association rules are used to mine frequent item sets of data,FP tree is construc-ted,and data are calculated.The minimum support and confidence of the data are classified,the related information of employ-ee performance is obtained,and the information is integrated to complete the design of the evaluation progress dynamic tracking system.The experimental results show that the method can accurately score employee performance,and effectively improve the dynamic tracking effect of evaluation progress in terms of multiple concurrent user access and multiple number processing.
关键词
大数据/关联规则/考评进度/动态跟踪/频繁项集/最小支持度
Key words
big data/association rules/evaluation progress/dynamic tracking/frequent item set/minimum support
维普
万方数据