Reliability Evaluation of Online Mobile Education System Operation Based on Data Mining Algorithms

Evaluating online mobile education system reliability involves considering multiple interconnected factors, challenging data mining and potentially causing inaccuracies. To solve this, a data mining-based method is introduced, using fuzzy support vector machines to handle complex, unpredictable data, providing a solid foundation for evaluations. Based on data mining outcomes and guided by specific principles, a hierarchical evaluation system assesses system reliability. Using constructed indicators and a fuzzy evaluation model, qualitative evaluations are transformed into quantitative scores. Experimental results show over 95% indicator coverage and accurate system status evaluations.