With the advancement of intelligent campus data acquisition technology, student behavioral data are growing in size, variety, and real-time throughput, posing challenges to the storage capacity and computing power of traditional behavioral data analysis methods. The study focuses on the application of association rule mining in student behavioral data analysis. Data collection, storage, computation, and analysis all comprise integral parts of a four-layer data association mining architecture, and the three-step mining process from “data preprocessing” to “finding association rules” to “acquiring relevant knowledge” is described. The existing mining algorithm is updated to address the issues of overscanning of the original dataset and excess iterations. The findings from the case study reveal that the number of iterations in the modified mining algorithm is greatly lessened, effectively improving the mining efficiency of the massive student behavioral dataset.
This paper aims to explore the impact of government subsidy policies on strengthening the shared-bikes industry in China by simulating the operation mode of Mobike using system dynamics methodology. First, we introduce four subsidy policies: equalization subsidy, stage subsidy, growth subsidy, and back-slope subsidy, and establish a system dynamics model to characterize the bike-sharing operation dynamics system considering these four government subsidies. Subsequently, we analyze the impact of the four subsidy policies on enterprise-operating activities. The simulation results indicate that different subsidy policies have different incentive objectives and characteristics. The back-slope subsidy has more positive effects on enterprise operations in the short term but requires higher cost. The influence of growth subsidy and stage subsidy on enterprises can last longer, which requires the government to timely adjust the subsidy amount. The impact of equalization subsidy on enterprises is more stable, reducing government subsidy while ensuring enterprises’ regular operation.
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