Application of Classification Algorithm Based on Association Rules in the Labor Market

摘要

The classification algorithm based on association rules (CBA) has a good performance in many data sets. At present, there are not many people using classification algorithm to analyze the data of labor market. In this paper, we use CBA algorithm to classify the dataset of the labor market. Then we, by using classification results, make a deeper research to submit a more rational calculation of the registered urban unemployment rate and put forward decision support for the labor market. The experimental results show that CBA algorithm has a high accuracy for the classification of labor market dataset. The research what we do brings a new idea for the macroeconomic analysis and decision support of labor market.