【摘要】 测试工程技术的不断提升使得企业在产品测试的过程中产生大量数据需要处理,以便及时反馈产品本身的性能。然而,传统方式在应对和处理上述环节时存在效率底下、管理混乱的缺陷,使其无法适应数据量大、数据结构复杂等新型问题。本文设计并实现了一种基于数据挖掘的测试工程数据整合分析平台,提出了一种优化的Apriori算法挖掘多渠道数据,同时利Web技术建立统一数据管理系统。实践证明,该平台能实现对庞大数据的科学管理、有效数据的精准挖掘和数据可视化应用。更多还原

【Abstract】 With the development of test engineering technology, there is massive data should be dealt with a method for reflecting themselves properties during the process of testing products. However, the traditional way is lacking of efficiency and meeting management confusion when handling those issues. Thus, they cannot adapt to deal with large amount of data and complex data structures. We proposes a platform for integration and analysis test engineering data based on data mining, the platform puts forward an optimization of Apriori algorithm for mining multi-channel data and establish a unified data management system by Web technology. It has been found that the platform provides the scientific management of massive data and the accuracy of data mining and data visualization applications.更多还原