Abstract: Shock spectrum tests are stochastic and difficult in nature, where an understanding of temperature and humidity effects is required. An evaluation model for shock spectrum tests is constructed through data preprocessing, and an association analysis as means of data mining is made to identify useful information about temperature and humidity influence on the test. Best temperature and humidity ranges for shock spectrum tests are also determined. The research provides a technical support for ensuring promoting the quality and safety in future shock spectrum tests.