Design of Evaluation Progress Dynamic Tracking System Based on Big Data and Association Rules
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.
big dataassociation rulesevaluation progressdynamic trackingfrequent item setminimum support
万方数据
维普
