针对动态野点数据检测过程中可能存在的优化规模过大的问题，提出了一种基于核方法的实时野点检测方法：KROD。
Aiming at the problem of large optimization size in dynamic outlier detection, this paper proposes a Kernel-based Real-time Outlier Detection (KROD) method.
移民点的巨大规模让优化食物必需品的加工和储存变得困难。
The large size of the settlements made improving processing and storage of necessary food difficult.
面临着来自质量，复杂性和规模方面的挑战，公司需要优化它们的软件测试，以获得需要的业务结果。
With these challenges of quality, complexity, and size, companies need to optimize their software testing to achieve desired business outcomes.
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